

declare (strict_types=1);
namespace ElementorProDeps\DI;

use ElementorProDeps\DI\Definition\ArrayDefinitionExtension;
use ElementorProDeps\DI\Definition\EnvironmentVariableDefinition;
use ElementorProDeps\DI\Definition\Helper\AutowireDefinitionHelper;
use ElementorProDeps\DI\Definition\Helper\CreateDefinitionHelper;
use ElementorProDeps\DI\Definition\Helper\FactoryDefinitionHelper;
use ElementorProDeps\DI\Definition\Reference;
use ElementorProDeps\DI\Definition\StringDefinition;
use ElementorProDeps\DI\Definition\ValueDefinition;
if (!\function_exists('ElementorProDeps\\DI\\value')) {
    /**
     * Helper for defining a value.
     *
     * @param mixed $value
     */
    function value($value) : ValueDefinition
    {
        return new ValueDefinition($value);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\create')) {
    /**
     * Helper for defining an object.
     *
     * @param string|null $className Class name of the object.
     *                               If null, the name of the entry (in the container) will be used as class name.
     */
    function create(string $className = null) : CreateDefinitionHelper
    {
        return new CreateDefinitionHelper($className);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\autowire')) {
    /**
     * Helper for autowiring an object.
     *
     * @param string|null $className Class name of the object.
     *                               If null, the name of the entry (in the container) will be used as class name.
     */
    function autowire(string $className = null) : AutowireDefinitionHelper
    {
        return new AutowireDefinitionHelper($className);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\factory')) {
    /**
     * Helper for defining a container entry using a factory function/callable.
     *
     * @param callable $factory The factory is a callable that takes the container as parameter
     *                          and returns the value to register in the container.
     */
    function factory($factory) : FactoryDefinitionHelper
    {
        return new FactoryDefinitionHelper($factory);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\decorate')) {
    /**
     * Decorate the previous definition using a callable.
     *
     * Example:
     *
     *     'foo' => decorate(function ($foo, $container) {
     *         return new CachedFoo($foo, $container->get('cache'));
     *     })
     *
     * @param callable $callable The callable takes the decorated object as first parameter and
     *                           the container as second.
     */
    function decorate($callable) : FactoryDefinitionHelper
    {
        return new FactoryDefinitionHelper($callable, \true);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\get')) {
    /**
     * Helper for referencing another container entry in an object definition.
     */
    function get(string $entryName) : Reference
    {
        return new Reference($entryName);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\env')) {
    /**
     * Helper for referencing environment variables.
     *
     * @param string $variableName The name of the environment variable.
     * @param mixed $defaultValue The default value to be used if the environment variable is not defined.
     */
    function env(string $variableName, $defaultValue = null) : EnvironmentVariableDefinition
    {
        // Only mark as optional if the default value was *explicitly* provided.
        $isOptional = 2 === \func_num_args();
        return new EnvironmentVariableDefinition($variableName, $isOptional, $defaultValue);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\add')) {
    /**
     * Helper for extending another definition.
     *
     * Example:
     *
     *     'log.backends' => DI\add(DI\get('My\Custom\LogBackend'))
     *
     * or:
     *
     *     'log.backends' => DI\add([
     *         DI\get('My\Custom\LogBackend')
     *     ])
     *
     * @param mixed|array $values A value or an array of values to add to the array.
     *
     * @since 5.0
     */
    function add($values) : ArrayDefinitionExtension
    {
        if (!\is_array($values)) {
            $values = [$values];
        }
        return new ArrayDefinitionExtension($values);
    }
}
if (!\function_exists('ElementorProDeps\\DI\\string')) {
    /**
     * Helper for concatenating strings.
     *
     * Example:
     *
     *     'log.filename' => DI\string('{app.path}/app.log')
     *
     * @param string $expression A string expression. Use the `{}` placeholders to reference other container entries.
     *
     * @since 5.0
     */
    function string(string $expression) : StringDefinition
    {
        return new StringDefinition($expression);
    }
}
{"id":125,"date":"2021-03-12T07:02:26","date_gmt":"2021-03-12T07:02:26","guid":{"rendered":"https:\/\/kolbepezeshk.ir\/?p=125"},"modified":"2024-05-09T09:24:22","modified_gmt":"2024-05-09T09:24:22","slug":"analista-ou-cientista-de-dados-qual-a-diferenca-e","status":"publish","type":"post","link":"https:\/\/kolbepezeshk.ir\/?p=125","title":{"rendered":"Analista ou cientista de dados: qual a diferen\u00e7a e como passar de uma profiss\u00e3o para a outra"},"content":{"rendered":"<p>Nesse sentido, um projeto aplicado substitui o tradicional trabalho de conclus\u00e3o de curso, que pode ser na \u00e1rea de Dados da WEB, Fluxos Cont\u00ednuos ou Dados Modelados por Grafos. O m\u00e9todo de pagamento \u00e9 exatamente o mesmo da forma\u00e7\u00e3o anterior, dependendo da escolha do aluno entre per\u00edodo fechado de 4 meses ou pagamento mensal. Tamb\u00e9m estima-se um per\u00edodo de 4 meses para a conclus\u00e3o da forma\u00e7\u00e3o, com 10 horas semanais de dedica\u00e7\u00e3o. Com o avan\u00e7o das ferramentas digitais, principalmente as relacionadas \u00e0 entrega de publicidade e metrifica\u00e7\u00e3o, a quantidade de dados gerados e processados aumentou exponencialmente. + Todas as informa\u00e7\u00f5es sobre o curso de Ci\u00eancia de Dados no site da Quero Bolsa.<\/p>\n<h2>Comece hoje mesmo os cursos de Data Science. Matricule-se agora!<\/h2>\n<p>Eles criam gr\u00e1ficos, relat\u00f3rios e pain\u00e9is interativos para comunicar os insights derivados dos dados, facilitando a tomada de decis\u00f5es estrat\u00e9gicas pelos stakeholders. O trabalho de um cientista de dados envolve v\u00e1rias etapas. Primeiro, eles devem entender os objetivos e requisitos do projeto, bem como identificar as fontes de dados relevantes.<\/p>\n<h2>Visualiza\u00e7\u00e3o de dados<\/h2>\n<p>Ao ler pela primeira vez sobre as fun\u00e7\u00f5es desse profissional, podemos ter a falsa impress\u00e3o de que essa \u00e1rea n\u00e3o demanda tanta responsabilidade. Contudo, essa linha de pensamento est\u00e1 completamente equivocada. N\u00e3o \u00e9 novidade para ningu\u00e9m que, com o aumento crescente da tecnologia, principalmente no que diz respeito aos sistemas digitais, as profiss\u00f5es ligadas \u00e0 TI tendem a se  beneficiar no mercado de trabalho.<\/p>\n<h2>Passo 3: Estat\u00edstica e Matem\u00e1tica<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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EVk9qxo28N05YEhY\/mBcPlV9K1kkZwRnyUrV6PZBEX080pcB1LsrzM5q7dUEP8AP4ZU1SM6LzURBQnTuotUpG5OGkEO2IC1SQc7Y89kFa2XckNPkSqAl27T0CglJS6FmMHBYkYnMJHM34qxzCPWx1W42MuYHNxkdVjkbyglviFg4kinzg0XYyTndUV0mScnxVAMu2UXiWF0L4Yu8k5R06n4LewBsOgVlOwxNyR6x3KyFTRWEVqktzKIiL0wCIiAIiIAqhURATdhgGXSlpyOh9ymsLTssTo6Qcw67hb+FtqMdsEaC5qb6rZjwiuwikID3SIi3xyoREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREBcKWCQcz2Ak9VQ0NKesQWF07WuLefGFY6qAP7osW4+KMlGp4MyvttJjPdN+Za89sou7cTE0Ebg4V3pQxtIoK9XiWLLGS4Ddz8VDVqU4Ry0WbejWqzUUzadboXHJYz5lT6VUx6wx\/MvJHVFwafaHzK79l1c37VpWu\/C6Hijdfi67XR\/eendZ6QnenjPyKOulkpZYnAxMG3gFE\/sxrB\/k2\/Otat1bVTRlgjDSfHKjqXNtKLWCWjY3sZp5+8iPRjDUvhBGGuwFtNjdjwWpTvdJIXuOS45KkG9FraaXVG8qtrhlndnzCr3Z9yyAKuFJtRC5GnWxF1LINvZKw2CPd7y4bOaOvxUg9nMxzT4jCirW4skfH0KikttSLLEG5UZRRP1UT2NzG0KPDRJFJ6TM4Yd9zsB55W8Kpz4+U9RstSqeGQSZGclu3nup54fJUpbl6L6m1a9ORVnMagtcwOIaQBuPipmHQ9tLH8jZQeXPqvW\/aaZ0VPExzMENyQPMr0lLAI49wOY9VsrexpSj6SNHe6pWhJ7ZYPm9ToCM5NNcHNd5SMyPnCiarR13psuHdSNbvlrv7V9QraYQy5A9V24WhMA44wceahq6dR6YwWLfWrnjLyvWj5gyyVz93RlozjJUhbNOiZw9Izj4r2U0DAOYAbnyVkNOGuLgB5bKtGwhGXPJenq1SpF44LaO2UdPHyxQMAx1xuVpX27y2ynApQA8nGSOgUwwcm3goO60jK+4QUbyWscSSR7gVZrJwp4p8Mo28lUrbq3KXJs6frbhcab0iaUEZLeXlUdqi2NkYZmMAPivR0VLT2+FsLByRtWtc5oamCRrW+y3r5pOluo7JvLFK423PeUlhHzFzS1xafBVbI9gIa4gFZq5gbO7Hmtdc61teDsovfFM36Wua0928bObgkearOQ71mHIUer2SuY3AWaqNrDI3SSe6IcSTnHRZKVjXTAu6fpWEkuPxWdoLHAN+1XkeWZS6YNw9c4Vqox4kHMPlVVKVsYCIiAIiIAiIgCy08RmmaweJWJTen6MveaggYbt8qkpQ3zSIa9RUoOTJqBndxNZjHKMK9XEYVq3GMI53OXkoc+SKqLw9ye4REW9OWCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgNKptkMshmcXZdvs4hYfpTT+b\/xysl0nrWREUsXMR7lDen30daRU6sqcJYcfuNhQhWqQypJe83qigggZzNe8E9PWKiZbXTTH66C74lYKm432Z+1HkDpusHpN8zn0QZ+KqVKlOT+q\/gbKjQqwWd6z7TYfYqDG0IWE2ShG3chY5Ku9Bp5qVo\/2loy3ysiPK+EA\/FV5zpR6x+4uU6dxPpLPvK19sp2tPIwNPuXnZm4eR5bKUqbvPOCOUNUXKSTk+K19eUZP0TcWkKkFioZaMbqRb0CjqPqFJM6BKXQV\/rFwCqiqAp0VihGVDgGmubmnYOOR8qmsKLu8JaY6lo9nYqKsuN3kT28vScX4kjA0vdyN6u2ClXWxlRX09FybRhsrz5geC1tNsiqH+kyuAEYzuVM2WaOvu9ZLD6zWhkbT5+auUKcZpZ8Way6rSpylt\/NX3vg9FQ0wLuYjZv6VJYwscMYjYGgdFkyt\/CO1YOPqzdSWTDUxCaMtPXwPvUBOS0lpAyOo969G7psvP3WLEr5euRjA8PeoLhcZRbspZe1mhUSN2DdvissQAZk+K0SR3rQScNbkjzK3In8zAfNUIyyzazjiKwZ42gjJUNcKykp61jZSGODhyv8j71K982NjiD08V4LUk4nqwGPyQc7KG7q91DKLWn2\/f1Wn0PdVsjWwZz1CiIpC6CYk7cqzT1DnWyB7+romk\/MtFzzHbZJB9slWeXn1HtCltjj14PJV+8zseZWpgrYqDmQrFjHVaCXLOthxFIsRD1QDKwJCrfNZGvxnKsRZrgwfJngfy7k7OK2VoeC24JO8bv1Czi\/AiqR8TKqKqosiIIiIAiIgM9HTuqqhkLR7RwvaUtNHSwtiYBsF5vTrSa3m5OYBvXyXqVs7OCUdxpNSqNzUPAtc3O6xuaQsyw1L+Rmx3PRW5ccmvjy8GrLM4PIZ0CLEir5ZbUYpH0VERdEceEREAREQBERAEREAREQBERAEREAREQBERAEREAWehoay51sFut1LJU1VTI2KGGNvM6R7jgNAHUkrAvb6Ue7S2i7vriCcxXKqnFjtbm7Oj54y6pmafAtjLGAj\/PnyUNeq6UMx5b4Xtf7PF+osWtFV6mJPEUm2\/UuvvfRetoyTUuiNAyupblSRasvsbQJYRO9ltpJPFjiwh9Q5vQ8rmszkZf1WgeI1y5i2LTul44M\/uIslO5oHlzOaX\/LzZ96t0\/YdMnTVRqfVFRczC2uZQQwUDYw4uMbnl7nP2wAAMAePXbffuVs4bWep9Dulv1nTTcjZAyQ0wyxwy1w23BBBBGyo4pbnGonOX3e5dFjPgvazZZr7FOlKNOPgs4eH0y8ZecPq\/YkikVboHWbo6O42uDSNzkPIyuo3SPt73Hp30Ly58Q83xkgfceK8tfLHc9OXSaz3en7mpgI5gHB7XAjLXNc0kOaQQQ4Eggghb1dRaWlt9fX2evrYn09VBHT01Y1hfLC9jud3MzYFrmjbGCHDxCl56h2qeHHe1UYfX6SnigZP9s63zl3Kx3mI5R6vumI6AKWEnQacc7G0mnnKb6Yb8OUmufVjDIakVcxamlvSbTjjEkuqaXGcJtPCbxznKZ4tERXzVhERAEREAREQBERAEREAREQBERAZW05kZk9CtWsgaxvIOruvwW4KhsUQLhsAouarMry8t6rybike0lOUs+BhFG3GFR1FGQr+9P3Kp3pP2qgxEuJz8zBNbo3twf0qGrdOQTuzj86nny8u7sLWfUM+6CgqU6c\/rIs0K1am8xZ5ir05BAwkDJ+K81XU5p5eTwXubjWRtYcHJXiLjM6adznDG+y095CnDiJ0mm1atTmZbSdVJR+zlRtL1CkmeyFBS6Fu4+sXhXKgVVOiqwqspxVOFOW8wecEIAtu1uZHWsc\/p+tZRim0mYTk4Rcl1RK0+lrTFEAY5Om4Dzup2z0NPSNxTwNjaNgAPzrUp6mCSoFO54yf0Kbh7rpGNmhbihSpxeYJHNXdxWkttRt5MwVCd0Co47FXTVrqWve1rSTuoyZgkD2kc3eDc9Oq2KyVzWDl8dj8FpyTEsLml2fZBJ\/Oq1SSfBcowaWUQEkHcy4efZ2J898rYhd9bwfJVuGHxc8Qy6M4Ix4LA2bIwOuFrvqSN0m6kcsq5klVTzQwnDy\/lz5bKJZo1zZRNPP3mTuBt+dTNp5u8n38Qf0remaXsIacFedxCtFSmsnv4VUtpOFN4TISuaZCyliGGsw0e4LRv8ANHS0LaZnkph1M2mDpnvyV4m91rqmqcM7BVLqXdReerNhYQ7+okui5I07uLiiItQdGzG4YPRVAwMq7l5j8FUheYMs+BYiqVRengV8bzG4OHyqxEHUkAQRkeKqtemk\/wAmT8FnUieStJbXgIiL08CqBlUWalhdNK1jGlxznA6r1LLweNqKyyf03SOYx1Rkjm2U6QsdFStpadsQ3wOuFmIW8pU+7gkcvcVe9qORjO25WjM4yPLvDwWzUyYHdjx6rVcsZvwPaUccmMtRVI3RYE59CREXQHIBERAEREAREQBERAEREAREQBERAEREAREQBERAF7G4xvqeEtjqYBmOgvtwhqP9V80NM6PPxEUn4pXjl6zQ11tzoblo6\/1opLXfmMHpDmkspayMkwTOA35QXPY7G\/LI44OAFWuk1GNRLO1593Kf3NsuWTi5SoyeN6xn15TXubSTfgnk3YND6pm0ZbW+n0sLL3cO9ordPV08JlaInj0hznyAxt9UtHPgOzkZ2Xta\/R1TfKK3Wa86Ou\/o9opXwW6ooL7Qy0kbPbf6RVO5o2vMjnEM52gBzQ1uTl3i6nV3EPQTxpG5Q23NtzHCy4WWirS2MkuHdyzxPcYzzFzeV3KQ7I6rEOMGswwxiHTIady39itrwf8A9utZUoXtdqdNwxltPMvHo+PV7fHnk3FG5022Tp1VUUsJSWIvp1Xpc\/W5XTwyso37Noy9nR+orOxlvkrpm2+6RQx3Kme59M0VBcW8shy4DBMY9cbeqo3SD2waG15LKcMnoKKkjz4ymuhkA+PJDIfkKyw8R9f36QWS2U1qNTXg0zG27TlBBUP5xylrHwwNkaSCR6pGxKs1g+i0xZKfh7QSxT1cNR6Ze6mKQPY6rALWQMcNnNiaXAuB3e9+NgCZlGu5d3WxulKMuM8KOMt58OEl62QOduoKtb7tsIyjmSSy5bsJYzz6Tb9S+Pi0RFtjRBERAEREAREQBERAEREAREQBERAY6meLlbFkbbuWqZYM+01QV5huhrZnx1AbFzeqPdhQU9XcYXcklQ\/51r6t3sfMTcW2nd5FOM0e3dUQAn12\/OrPS6cdXheENbVO6zvPyrE+pqD\/AJZ\/4ygd\/wCouR0jzke0rLjSxtJdIFBy36iycPJ+Qrz800rxh0jnfE5Wu4qpVvZSfCL9DTKcF6TyTFXdqaQeoST8FAVT+8eXeavcVgkVGrUdTqbS3oRpfVMtJ7Sk2eyouk9pSkfsrKl0MbjqZB0VwCtCvCsIqsAK9vgfEK0LPTxl78kbBepZMJPCybVPzt5ZHO9bqCvVWGoNRFIXdWkAry7V6HS+e6mLsYLlsLR4qJGl1BKVFyJ0dFY4gdVdnzWORw3z4DK2jZoYrk1pQwZYBjOT8VqzsDqcnGDj1Q3wC25AXbjqFge1zHBwxvgDKryWS5TeCLfGQw4GObH\/APSoeZhp5T15Hez\/AGKdqneu8NHrZH6Oq0KqDvKctwMjcY81Rqxz0Nrb1MfW8Sy0St72Vni4ArdmkEQLiQvMOnlgnEsZLXNPiqV13qaqPlZhuepBUEbhQhh9S3KylUqbl0ZmvV5jZE5geMnZeMleZJC8+JW\/U22tcDUOBkB3yPBaBY9pwWlam5qzqSzJHQWVGnQjiDyWoq4Pkro2Z3I+CrFzOCoaAMKxyzFp8ljcw+SyPIsxEYVFk5HeSoWEdVjgzyixFXGEx7kABLSCOoW8x4e0OHitFZaeTldynoV7F4MKkcrJtIiKQgCmNO0z5K1krQCGbnKiF6PSjSJJDkYI6KxbR3VUVL2ThQk0ekwscrhG0vPgs5atGrfzO5Qdm\/pW6k9qOZprc8Gs5xc4uPUq0q4hUVdl1FhHvRVRYnuT36Ii6A5IIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgPU2rX1XBamae1DaqPUFqi\/cIa0OEtL\/IzMIkjHm3JYfFqr9N+Gp9Y6IvYd5Nv7OX5jSk\/nXlUVd2tLLays+Ta+5NFtX1bCUsPHHMYyePLLTeD103EF9Db5rVoyx0unoKkctRUQvdNWzt+5dUP3a0+LYwwHxBXkURZ06MKOdi69fFv2t8sirXFSvjvH06Lol7EuF7giLrnhTYOC+nuzvQcSeIuhaW6FtRLFPMylbLO\/M7mM6uAIG3iqOqanHS6cajg5uUlFJdcvOOvsNpoeiy1utOlGpGmoRc3KWcJLGeifmcjIur\/wBtzsafenqfyVF\/ip+252NPvT1P5Ki\/xVrvx9c\/YqvwX8TcfRWz\/wAyofGX8pygi6v\/AG3Oxp96ep\/JUX+Kn7bnY0+9PU\/kqL\/FT8fXP2Kr8F\/EfRWz\/wAyofGX8pygi6v\/AG3Oxp96ep\/JUX+Kn7bnY0+9PU\/kqL\/FT8fXP2Kr8F\/EfRWz\/wAyofGX8pygi6v\/AG3Oxp96ep\/JUX+Kn7bnY0+9PU\/kqL\/FT8fXP2Kr8F\/EfRWz\/wAyofGX8pygi6v\/AG3Oxp96ep\/JUX+Kn7bnY0+9PU\/kqL\/FT8fXP2Kr8F\/EfRWz\/wAyofGX8pygi7QuFl4BcQOBmsdeaA4eUtC6101XBFLPRtimjnjha\/mbyucMYkbg565XF6v6Vqq1NVP6NwcHhqWM5xnwNVrmhS0R0v6WNSNSO5OOcYzjxSCIi2pojQrIo3PJcAVFVlBSSM5u6b8cLZvdd6K2QswXN8F5iS\/1b2lvKwBa64q04vbI3Vlb1pxUomCvp2QSepsD4LQkCzyzyTOLnnKwvGQtTNpvKOhpJxSUjXesTlnkCwOVdlqJicsMizOWGQKJliBkpD62FKR+yFFUntKVj9kKaj0ILjqZB0VwVFcMKwimXtBJwBuVvxRhjA351r0seT3h8Oi2x8FLBeJVqyy8FQN1P6beAyVhI9rKgQFvWuoMFQN8cys0JbJplC6g6lJxR6l0jc8ud8LCTsd\/grDIyR2RsQFY0hxx0I3WzcsmkjDBe9+wx16rBO7mb65xvlZXBuM52WpIDJkb4G2VHN8E1Ncmu9uDlx5jjotObDSTzD3rdlaI2Ec2CfJRcjnB5LmnB81UqPBsKK3ERcocP7xucO6+4rQY0F3KenVTVSGSNdG89fzKJ3ikLXe0NitbVj6WTeUJtwwTFCxoYGgeCrPaaCoOZKZhPmBj9CUAJAPuW9ynGVZjBSjyihOpKE24vBEfSC25wKb85V\/0poIvZpmjHmMqV7vAJI6rXlbucp3MI84PVc1JcOT+JFy0lO04bCwfItGaniGfrYz4bKWlC0524B2JVecUXKNSXmQ80IAwGgfItN1Meb2VLSR5OQN1iMGdsZVSVPJsoVtqIt8LR4bqwQOJ9ylDA0bOGPkVBTZOR0UfdEyuCLdDjoFaY\/IKWNKMYLVhkh5RswBYuk0ZRrpmvGS5u\/UdVcrSe7fnz6rLsV4kestHVeg0uZW1J5fZIwQVA4XqtO0W7atrvVLP17gq1aRbqLBQ1CajRafiTk8ndxkjqdgtBwys08hkcSOg6LEtrPk0FKO1GEhWrM5qxEYUTROmUREXmDM96iIt8ckEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAXUk32DEP4Q\/rhXLa6km+wYh\/CH9cK53tD1tf00P2nXdkv79\/p6n7py2iqAScAblfbaDsdccLhQ09fHZrdEyoibK1ktwjD2hwyARvg7rb3V\/a2KTuaihnpl4yaCx0q91RyVlSlU29dqbxnzwfEUX3X6i\/jn\/Bdq\/KLE+ov45\/wXavyixU\/x\/pf2iH6yNj9E9d+yVP1WfCkX3X6i\/jn\/Bdq\/KLE+ov45\/wXavyixPx\/pf2iH6yH0T137JU\/VZ8KRfdfqL+Of8F2r8osT6i\/jn\/Bdq\/KLE\/H+l\/aIfrIfRPXfslT9VnwpF9zf2MeOjGOe20Wt5aCQ1txjyfcM7L4nW0VVba2ot1dA6GppZXwzRO9pj2khzT7wQQrdrqFpfZVtUjPHXDTwUL\/AEi\/0tRd7RlT3dNyazjyydT8D\/sQOI\/84uP9Dp1yiuruB\/2IHEf+cXH+h065RWn0P+t3v6T91HQdp\/7P039D+8wiIukOOIO8WmSvldiQtaeuAtBmlaZu8jnE\/Felkc0E5WNz2+AVWdvTlLc0bCneVoQUYvCPOyWKiiBxFv7yoavo44wTGMY8l7N7ec57sfKtSqoO+bgNaFWq2ya9FF23vZRl6bPBSBazhhemr7Ccl4eB8AoGtpX0z8E5B8VqatKUOqOgt7iFX6rNF3VYZFmeVgk8lUkbCBfSn1lLR+yFEUvtqYi9kKWh0ILnqZFkiYXuDQsYG63qaLlZznq79CtRWShUltWTOwBoAHQK8K0K4ZU6KRUBXBxacg4IVAsc7+Rq9zg8S3PBN0lfiJvM\/Pn7lmdUlzS6NwHNjdedpWTvglq2ezGRt5rajqHxM7xztg3Iz4KeFd45KtS1ipPaTrpzyOa4jbf5FY+VrctBxkfMohlY8kOfIC4gYHmCVdJWNcA4nlzt\/as++TWSJWzTNiWoEknd+GDuo+pcTtkDzPvVr6gMLvWBx4+5alRVNwCDuVXqVE1yXKVFp8FZJy3GW5zstCeLLg8deh+CySz8223RX0TTJIGFuc79PBVW97wbCK7qO4kLd+4jPXxUmyMOOPBa8FI6A8pOQd2+9b7I+VuFfpQeMM1NeonLKMT27ELTlCkHt26LXkjG5ws5xyYU54IySLJyQtaVngpN8fiFrSR\/Mqs4F6nUIx8WFiEeB0W9IxYnR+OFXcS5Gpk1TFk7hWmMjYMBW22I43R0ZPRebTPvDRczf2SFglbkY8lvPYcEnZa8jAB5qOUeCaEiKnbhWwvyOQ9QtioZ7lpHLH5HgqcvRZsIelHBttXoNP14Y2ShLt3es34eK84JG8vP4KlNWPpqltSHbtOd\/LyUtKr3UkyvXt+\/puL\/AO2e7JVFAzaspGAdzG95xvnZLfqb0yrbTPg5Q84BByth+E021FM1H4DXUXJx4RPHpusbhlX8ytyPFTMrIxFFccDqEWJnk92iIt6coEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAXUk32DEP4Q\/rhXLa6km+wYh\/CH9cK53tD1tf00P2nXdkv79\/p6n7py9D+6s\/jD9K7J7XHEjXWg49FxaP1RX2llXb5HTimk5RIW93gn4ZK42h\/dWfxh+ldS9uX\/3C\/B03\/y1hq9KFbVbKFSKa\/pOGsr6qJdAr1bfQtSqUZOMl3PKeH9d+KPjf1Q\/G775l7\/3\/wD0T6ofjd98y9\/7\/wD6L52vo2ieA2vNf2GPUdgFv9DlkfE3vqjkdlpwdsFbG4tdMtId5XpwivNxX8DT2l7rV9U7q2q1JS64UpN4+Jb9UPxu++Ze\/wDf\/wDRPqh+N33zL3\/v\/wDovUUmkzpyAWK8UdI+toXOgnLWh4Lw45wcbr49BQVlzubLbbaWWpqqmbuoYYmlz3vJwGgDqVFb0NPuNzjRhheO2Px6Ctf6rQkoSuKm5+G6Wc+XU+t8P+KfHjiFquh0jQcX66gqrg4xwSVlS5sbn42ZlrT6x8PM7L1XGq79oHgnPaKK8caq+41V1ilmLKZ7gImsLQMlw3ySfD7VTekdI0nZ7jt9rpKOjvvGTU7O6t1G6RpgtLHjYucSG85Gdyd+g9XJd4fjnoLtDz2Wl1pxdoYJKezRNohViqgc8iSUlvM2N25y7GQOgGfNaOnUtLnUId2qcaD4SaipTfKzFYztzhZ8X04Otq0b6z0mp3sq07lctxlNxpLhuM2nhS25bX5qfOGfSexzxU4ia54kXW1au1fcbrSQ2OWojhqZOZrZBPA0OHvw5w+Vc0cTP3yNV\/hyu\/5719t7B377F5\/8uzf0mnXxLiZ++Rqv8OV3\/Permn0adDXLiFKKitkOEsLx8jW6rcVrnszaVK83KXeVOW230j4s6J4H\/YgcR\/5xcf6HTrlFdXcD\/sQOI\/8AOLj\/AEOnXKKl0P8Ard7+k\/dRF2n\/ALP039D+8wiIukOON6G1U08LZnl\/M4ZOCFcbLSj7aT8Yf2LaoyPRY8k9Fldg+CnUItdDXyrVFJrJH\/Sak8XSfOP7FI2Dh\/dNW1r7Xpy31FdVRwvqHxse0csbfacS7AAGVjJwCSF9B4H3y22i96lqbn6IYv2K3NrYqmXu2TvLBiLIIJLumAQfJUr+o7a2nVprLS4NlpFP8OvadCtNqMny\/V8H8mfI9Z6Tn0jWC36ghfS1DoxKGd8x+WkkA5YSPAqDpeFes9ZW2S9aX0pdbjQxOe3voY8h7mjLmsHWQgbkNBIHVb2srhBeq6SrobDTW2JzQ0U1IZXRtIHXMjnOyfivqulLNPqa3cJNQ2bU1ms9HoV7hfBWXSGmlontr31DqhsT3B8vPG9gHdhxLm8vgFz2p3NWlTi8LL68cdG\/Bvq1jq+vidjodpRr1pLc8LosrL5S6tLom2+FwvDlrmGW2RNeWO7wOBwQTuCvVaj4F8R9MWqW+XzR9xp6GnZHJPMCyQQseAWOkDCSwHIwXAA5HmsevrhRXfXF9vFsiMdHXXOpqaZpby4ifK5zdvDYjZdIcS9U6LuLOLFPpA22k1RLYbTFUV0twM0d1togpfSYoGlwYyZj2w7DmJax+ADkjVXVepSlBRj16+rmK8\/X6\/YdBYW9OvCrKVTmPTD68Sfk8\/VXGV165wjlrRXD+\/a4vbbBpOz1d0uD45Jm08GC8sY0ucQD1wASpywcO7\/qG13W8WWzVlXRWOAVNxnjxy00ZOA5xPwPzL13Zc1J+xHiRWaijuMFFUUOn7rNTSzSBje\/bSvMbdyMkuAGPHOF0JUak4b2fRGvrZo67UEbdcaardVVMImYDTyTyQtp6Ab7vj\/9JPKNwHjbC8qXtS3q91CGc7cP2vnPu6esyo6dSu6CrTq7Wt2Vx4L0ce\/r6uhx19K4MYYX83hk53WbVOntWaIugsmq7LPbK4wx1AgqGcrjG9vMx3XoQvdcG7HZ75xEtEeo66no7PQyOuNwkmeGg09O0yvYMkZc8N5GjxLgvWdoa46a4k6MtfEi0aqlut3ttzq7Zc21lK2knfTzyOqKdzIhLITHG58sfNnpyDADQr9xcOlXjSiuH1eHxnp6vB\/FGpsrRV7WdepLlfVWVzjG7jr4prHkz43pfT2rNZ177ZpeyzXGoijM0jYm+rHGCAXvcSGsbkgZJAyQsd\/tWpNK3WWyajtM9troMF8FREWOAIyHe8EEEEbEbhfSuClM7WHDrXvCjT8tMzVepJrVUWuGepjpxXR08kplp2ySOa3nPeMcGkjm5T5BeQ4q0d3tOoKKwX3W1LqWrtNspqJ8tLMJ4qLlaT6I2UZbJ3WcEtJbnIB2UcLqcriVJtceHOcYXPsy2vd18CzVsKULSNdJvPjxhPLW3zzhJ+x9PE3NEaBn1npnUOpWagho49Nwek1cRt9TORER6ri+NhY3md6o5iOhJwBleAq66blPs\/MuneDt54d8PdDaXsmr9ZS0p1zX1FVeaSipWVDXW98clFFDUSd83uMd5NNu1\/WN2AWjPN+r7KNKaouNgnqaevba62SnM0EgdFUNY\/HM1wyOVwGQR5qOjdzqVakHnC6e7h+HPK9fDRLcWFKjRozill\/W5zy8NZ5eOH5LlM9bS6D4h2zSLdT1ekq6K0yxMnNQ6E4ET\/YkcM8zWO2w4gNOdivHS1r4niOTlx5YXT971DY6biJxB46O1bY3aJ1Ppmpo7XSR3KB9XPLPTMiiojRteZYzG8ZdzMDWhmc4XNeiK+81Wsrf+xmS0x3M98ITdXU7aUDun83Oaj637PNjm+25cethLbUp1qLlPHCXq8MtP1rxf3Ht5otO2uFCnlqTa8G+uFJYxxLwX3siqmvkGOVzTjcBazr3UAd28tIHuUVLXuEkjZSHHJ3bjGfdjbC1nVHONwpJXL6pkMLKPSSJh96lIcBy4+CwG5yu68vzKK7zrurufAPvUTryfiWFawj0RJtr5S7bl39ynLPJMXghrcDG+F5aF3rAtK9VZDzRDbr0KtWsnOXJRvoKFPhHq6ORk72CpaAwHGW7EKcFnpPB0n4w\/sXnKd2GhejtVV38Xcvd68f5wuioYfDOKvFOHpQeEWvs9Lj2pPn\/AOiwvs9L91J84\/sUqRlYnNU8qcfIpQr1PMhpLRTb4Mnzj+xa77NS4PrSfOP7FMyNxusDme5QSpx8i3C4qeZByWamJ2Mnz\/8ARYXWenHjJ86nHRnw2WMw+GFA6MfItRu5rxIYWenO2Xj5VV1opmjYv+cKYEQHgsMwawEuIAHmsXSil0M1czk8ZISa00+5Jf08wtKW103m\/wCcLbuF8pYSWQ\/XHjy6KBqa+pqXeu\/lHkFQqzpxeFybe2p15rLeCtVSUDNjK4\/AhRstJTOJ5S\/51nO+616uobTwl4xzHZvxVGbT5aNtRjJcJtkdWPbE\/uIXHA6581rFzj1KoSSSSckoqLllm2jHasDJV8cskTw+Nxa5pyCPBWImWe4TPQ2\/VTooTHXNdI4H1XNHh71ux6pt79n87Pi3+xeRRWY3dWKxkpT06hNt4we4beLe8czauPB8zhF4dFJ+HT8iH8VU\/NnQSIi7I+bBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAF1JN9gxD+EP64Vy2upJvsGIfwh\/XCud7Q9bX9ND9p13ZL+\/f6ep+6cvQ\/urP4w\/Supe3L\/wC4X4Om\/wDlrlqH91Z\/GH6V172uNJ3\/AFvf+G+mdM299ZcK2hmbHG3oB9by5x6BoG5J6BY6rONPVbOc3hLvcv8A\/VEmhU51tC1GnTTcn3KSXVtzfCObNG8J+InEKjqK\/Rmlqq609LKIZpIXMAY8jODzOHgV17wC0pqLRXDuDT+qbXLbrjBVTvkp5SC5oc7madiRuCCs3Ca48OOzrba7Qv00veoLwZY5rxJa7XNVwU9VyAGIOjaQ3AxsTnzx0E7cePHCmeumnq6XV8U0haXsNhqW4w0AbFnkAuV1rVr3VZSt6VFujlOMlF5fHyefLyO57OaDpehRhd17lK4w4zi5R2rnlceKws89cnw3VtLU12ubrR0cD5p57hLHHGwZc5xeQAAvoNVo3QnA24R03CzTMl44l19tdK2OrqO+itUXLmWpk+1jGxAHV3QbHeLunGLhlpapul94Y2i8XXWFykcyB11onwwUJcSXyes0dPLqemwzn7Vozh9b9G8Prrc5KqW532+UEtbdbtUgGeqldETjP2rG5w1g2Cr6he1belTVaMoxfG15W98Z3L\/AvjLp0yzPQtJoXFxXlbzhOosyc1iXdrLxsfTvJefSCWXl4RxTwVqr9fe0BpjUF+rpKytq7w2aeeWTme9xzn\/\/ADwXWfbJ\/eHu387o\/wDnNXKfAX9+PSP4Tj\/WurO2T+8Pdv53R\/8AOar+vpLX7FJYS2\/\/ACNT2IrzuOyOqTqPLe\/\/APmj4F2Dv32Lz\/5dm\/pNOviXEz98jVf4crv+e9fbewd++xef\/Ls39Jp18S4mfvkar\/Dld\/z3ro7T+3rn\/wDCH7TmL7\/2tafpanyidE8D\/sQOI\/8AOLj\/AEOnXKK6u4H\/AGIHEf8AnFx\/odOuUU0P+t3v6T91DtP\/AGfpv6H95hERdIccTdE1xpIyMdFn7tx6qyg\/9Tiz5frWc8vircVwjUTfpv2mB8ORu5a0lDHIcklbpLAFsWe3VV+vNDYrcwOqrjUx0sIPQve4NH5yo6myMXKfRElHvJyUKay3wiH+l0I37sH4rDU0MZZgMaF2jqWy9m7sy2e1W7XemX6lu1zY5znuo46qV4bgOfySvayNmTgY3O\/XBXhuP3CjhpduEcPHjhCz0KgIZLUUrciJ8TpO7cQwk929knqkD1dj8TyVHtVaV6kV3Uo05vbGbS2t\/HKz4H0K47B6haUpy7+nKtSjunTTblGPXyw8JrOPdng43vdlY9\/NzAb+C8xX0ZpvHIXdvGbhdw3snZHs+v7bpSipr5UUFomkr2B3eOdKI+8PXHrZOdvFTGheHPZ4sPZes\/GDiJwxgvPcW4VNdJBGX1ExMxYCA6RjSdx1I2C1F1r9tKl38KcuZuGOM5Xv6HR2HZO+hcK1q1YrFNVW+cKLfTpnKPzxpf3X5VOwewF0ZrnjD2Kbzo682rQ\/BC92u\/VVJJHb6yWjgayCcj1XkiqcQAfJp+C++6R7LPC7iB2b7NPQaUoqLU910\/BURXRhcJBVcgcHO3xhzhh23QlRvXKdnTjUuacopvHOPj16E67L1dRrSo2daE3GO7jPsx06v4H5+BXFgewscMtcMEe5dTdjLg\/pbVWttbaZ4o6PgrqmxwxRGmrGuBp5xK9rxsRv6uPkUbpbVnZn4dam13pvihwvr71PT6pr47a6jp45I6ejZIWMiy+eM7Fp8DsRur89Xiq1ShTpynKCi+McqXlyail2fnK3o3VatGnGo5L0s8OPnhPr4HLVrul10hf6W92iZkNdb5m1FLK+Fkoa9py13K8FpwfMHdadZWVNxrJ7hXTumqKmR000j\/ae9xy5x95JK\/S\/X+hOydoXhfRcW77wXbVWmthpZooKWEOqg2oaHMBa6ZrcgHf1j7srnfRP1PPGftPaRtGguGs1t0rLQ1EddbbhC2Pvp2xyuD8Ryv2xy\/bDp0Wsoa1TuIzrxoyUYp5bx+bzjqdBcdm6trKnazuIOc3HEU5fncKWMdDlM+ytKscA1dbcYuBGjbp2w7Rwc0vRRaeslygpHSspc+o3unPkLeYn1iGkDPiV9W4lV\/Y37N+qrLwl1LwQhuJuFNFNU3WqooqkwxSOcwSOlmdzuOWuLuTAaOm\/qhW1untpqlCUpTjuwscL18i27NVd9V1qsYQpy2OTzhy9XHzPzVneWynlKsMxcPWyutePOhuytwq4v6O13o3UFm1boitq5DftN2e7QXGSnDBkcmJs8j+bYPcMFux3wOgOz9YOxJ2kJb5DofgLLQu0+2mdU\/TambEHiYyBnJ3VRJnHdOznHUdfChW1eNKkq\/dycX446c4w+TbW\/Z+Vau7V1YKaeEst54zlYXTB+YxOUyV1vx\/4ldjGbSOqtC8OOCd3susaef0KkuT6SFsEUsVS0SnmFS52CxkgHqE+sNh4es+h\/wDZt4ecQtJ6i4h8VNM0l3on1kVrtcdY5zY2ubvK8YIy4ufGwfAjxWc9SjSt3cVYOKTxh4y\/ZyYU9GlXu1aUakZNpttZwsZ68f8AeUcOZ3yFXmK+5dszgzR8FeN9zstioW0un7tFHc7TG3PLFE8YfEM\/cSNeBv7PL5r4YrtCtG4pxqw6NZNbc287WtKhU6xeDJHKWHOF7LTU0M9P6rhzN2LV3paeGXZY4bdlvSvGTiTwehu\/eWm3PrpKOLvKmaacNbz4fKxvtOydwvG637NfBXivwhqePXZahq7ZLb2Sy1NmmkeY5hFvNEWPc8xShnrANcWu2Axzcyq2evUYVczg1HO3d4Z+Jc1HsrcVaDVKcXPbv2pvdj4HMMWwW\/SzuglbM3w6jzC6+7IPC\/hDrDgXcNd620VR3mairKuR0zw4yGGONr+QDmAz1xnxKiX8ZexA+F7YeBl8a8tIaTRQbHG3\/wBbW+jr+a86NChObg8NrGPmcrU7KYtqdxdXNOmqiylLdn19Is56Y9sjGyMOWuGQqOGyjrXVt530\/RriXR+73LuPQegOCVk7O9q4m634fw3N8ND39ZJCwunlJmLAQC9rSeniOi3Op6xT0unCc4OTnJRSWM5ftaOV0Ts5W1u4q0adSMFTi5tyzjams9E\/M4ne0lWGLxK67uvBLgzxw0BX634F0tVaLrb+bnt0hdiSRrebunxlzgwub7LmHlz57rl3TFgrNU6jtmm6BhNRc6uKljAHQvcG5+TKWOq0L+E5JOLh9aMlhx9vq9Y1TQLvSalKDcZxqrMJQeYy5xx0eU8ZTRBPj8CsZjA6LvPjZ2Z+HkHCW6y6D0zSU19sVOypE0bnGWVsTQ6Rr8k7uj5ndNzjzXKnZ6tem9Ucc9L6Q1Jb4bhR3B9SJqWTPK8NppXjOPe0H5FRs+0FrfWdW9pppU85TxnhZ8\/HwNpqXZG\/0rUqGm1WnKrjElnby9vPGeH146Hyu4V1Jb4i+pkDfJo6leLut6nr3EBxjiHRoPX4r9B+LlD2JdA8QKThdxB4Xy0dXdKeKcXOEPbTQNkc5rS6Vs4kZgtOSGEAdT1XNXa07MTOBWpbZU6WqKq4ac1CXNoe9HPLBO0jMBI9rIc0tOATuMbZOpp9o6eoTjT2yhuWY5\/O96bOhqdjaukU51u8jUcHiW1vMW+mU0vic8kk+yFYQ8+S\/Qaj4N9m7sl8N7Tqrjppw6o1Hd+WN1PJTNq\/r3LzPihge5sXKwHBe85J8dwFGcTeAPAzj1wWruNnZ9tAsdwt0U00lDFF3McxhHNLBJAHFkUgZuCzY5bnIII1y12jKSe2Xdt4U8ejn+HrNzLsvcwg1vj3qjudPPpJfLPqOCi3HUqGrqjv5vV9huw\/tXc3Y37N\/DHVnDq8ca+KVvkvlLbZ6mOntTeYxhkEbXvke1pBkceYgMPq7b5ztM6fvvYG7SNjvVhr9IWLhXX28D0Ouq5qS0ySB2QySN7Xhkrhj1o3g4yOvUY3OsQhUlThCUlF4k14P5smsOz1SpRhXqVIxlNNxTfVL19Efnz1VCFv6gtkVkv9ys1PcaavioKyalZV00gkhqGseWiRjmkhzXAZBBwQQtBXk1JZRrXFxeGEREAREQBERAdBIiL6AfIgiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgC6km+wYh\/CH9cK5bXUk32DEP4Q\/rhXO9oetr+mh+067sl\/fv9PU\/dOXof3Vn8YfpX6xQWeiuNnp3Pa6Golt7aUVUJ5J443NGQx\/Vu4B28QD4L8mwSCCOo3XQ9s7cfFu226mt7rJpep9GibF301LPzycoxzO5Zg3JxvgAe5UO1ui3mrqi7TGY7s5eOuP4G17A9pNO7PyuFqGcTUcYWemc\/M7G4e8LNK8MKSuotJtrYmXKo9LqXVFSZ3vlxjm5n5Pgpqr01b6ypkq53zmSUguIcANgB5eQC4o+rw4tf6NaR\/wCFqf8AHT6vDi1\/o1pH\/han\/HXHVOyGuVajqzacn1e7k+iUv\/ULsvQoxt6akoR6JQ4X3nU9fwB4c3OtnuNZQ1j56mR0sjhVuGXE5Ow6L3LrTTuthtBkl9GMHoxbkZ7vl5cZxnp4qP0HfavVOhtO6mr4oY6m72mkr5mQgiNsksLXuDQSSGguOMknHiVLV07qaiqKlgBdFE94B6EgErlbivczn3Vabbi8LLzjw4O7srKwo03cWtJRVRJvCw2nzz8T5jpzszcKdKX2i1HZrbXRV1vlE0D3Vr3hrx0JB2K9jrrQOn+I+nJ9K6qbUT26ofHI9kcvduLmODm+s0Z6hccz9u3ixHNJG3TWksNcWjNLU+B\/l1Z9Xhxa\/wBGtI\/8LU\/466+p2Y7Q16ka9SeZR6Nz5Xjwz53b9tOx1nQna29LbTn9aKp4T4w8pdeODqbhvwA4b8KL1UX\/AEdb6yCsqaV1HI6arfKDEXteRg7Zyxu6\/O3iZ++Rqv8ADld\/z3r7VL27uLj43MZp7ScbnAgPbSVBLT5jM+PnXPNyuFZdrjVXW4TGaqrZn1E8hABfI9xc52BtuSTsur7M6TqVlcVbjUZbnJJJ5y+MnC9tNe0XUrShaaNDbGEpNrbtXKX3nUvA\/wCxA4j\/AM4uP9Dp1yiuruB\/2IHEf+cXH+h065RV7Q\/63e\/pP3UaztP\/AGfpv6H95hERdIccS0NXHBSRNe7fCsfdY+jGklUjgjkpGPxk43WBxijODgYUkpSSKahBt8clz7jO72YsBey4HXFsHGXRk9c4NhbeaYOJ6Al4APyEgrwktbTRA88rR8q026gjpJ46ijne2eF4kjfHnLXA5BB88qjeJV6M6MpY3Jr4rBs9ObtbmncRhnZJP4NM6Z+iAWWom4kaduczZRSy2MQRHJ5TIyolc8D3gSR5+IXw9\/BjiNTcP\/2w32CpZpgxiT0p87QwtMnIDyF3Nu\/pt45X3ezdtnTGodOUdo4wcJv2Q1VC0ctVGyFzZHgY7wxyew4+PKce4DZfOO0L2t71xSsNPojTOlo9O6ap3Mc6DvA+Wbk2jaeUBrGN6hoHUDfZcXps9Rs6VGydBJQeJTbynHP5qXOX\/wCT6ZrNPR9RuLjU43bbqLMKaTUlJpcSbWNqfXHXwfn9+49Nb9Q1Ym42FssX6IlN6K1ZZNC9iS0ap1BpiHUNut9oD57ZM5oZUA1JGCXNcNiQdwei5h4i9rKh132frfwXpdF1tLV0VJb6d1wNW17HGm5OYhgbkc3L57ZXoOH3bY0Zo\/hBZ+FGrOElRf6a30notT3tZH3NT9cL8ljmHbJHXyWgraZdO0VN0233zljKXo488\/8AJ1ltrdhHUXVVZJfg6gm02lNPxWOcezB8\/wCMvaH4X8T9Ht01pDgPbNI14rIqn6Y08sTn8jQ4GPDIWHB5h4+C69qeIF04XdkHQ2ubTl0tspbK6SMHaaFz2NkjP8ZhcPlXMGue0xwE1Vo+8ad072brdZLlcKV8FLcI3Qc1NIejxyxg7e4rJq7tRWvVnZ2tvBGHSFVT1NDTUMBuDqtrmOMDmknk5cjPL57K1LTql1CjTjRcYqeZJyT48X1fwKMdYpWFW5rSuYynKk1Fxi4+lnhY2rnxz953Lw70tpO5awreOei65ktDrez0vfMa3HNJG4kSe5xaeVwO4cz3nH5n8Xv32tbf+Yrl\/SZF9d7Ona\/q+CularRt907PfbcKj0ig7qpET6bm\/dGEkEFpIDgNsEu65GPhmsr9HqrWN91RFTOp2Xi51Ve2FzuYxiWVzw0nxI5sZV7Q9MurC9rOtzDCUXxyl0+C4NV2o1ux1bTbdW\/FTMpTjh8SfV+WG8vh+J3H2kvsL9NfzKxf8li5d7GlN6P2m9Llo9SRtWR7j6PJsvX8T+1Na+IHA618I6fR9VRz26CgidWvq2vY\/wBHYGk8gaCObHnsvk\/BjibS8IuJdq1\/WWiS5x23vs00cojc8vjczZxBx7XkvLPT7ilpdehUjicnPC45yuPiZ6hrFnX161uqU804qmpPD42vnwzwfXu1bbeJF17ZsLOEtLUT6oorbRV1C2BzA8GKMuJw88pAGcg9Rle3q+1JoLVeoIeDPbH4IwW+9xmKnfUtjbPDC+ZrXNcRnvYAQ5p5o3OxkdMZXNfFLtS3jUfaHouPWh7S+x11tip4oqWqlE4d3bCx7Xloblr2uc0gYOCd\/FfZazt2cAdZV1Dqzib2cW1+p7e1ndVcRgnAcw5bh7w12AegIdhaWvaV+5ownSztilmLxKMvbnGDqba\/tvwi4nTr7d828SWYSj7MZT+B8w7bfZYsnZ9vVpv+iq2eTTmonzRx0lS\/nkopmYdyB53ewtdsT6w5TknqvrX0Kb\/17iZ\/I2j\/APlVrnztTdqm\/dpS823vLLHZbFZRIaKhbL3sjpH455JH4AJw0AAAAAHzKkeyJ2pbX2Z6jVM1z0hVX0ahZRtYIKtsHc9wZic8zXZz3o+ZSVre7raW6NRZqPH\/AMl49OhHbXdhb62rii9tFZ8H\/ha6dcZPkPEOnmq+J+pqWnjL5Zr9WxsaBu5xqHgAfKv1A1VwG4g2PslWHgtwfbSU9+iFE+tnnqfRw2QP9IqJA7BPMZgAB5H3L829E8R9N2HjjTcVdR6Znultpr3LehbGTtY57zI6SJpeWkYa8sJ235ceK+kdpDtlax4zaott30TW6h0ZbqCi9HNHS3eRhllLy50jjFyA7coGRthZXttcXNSlCmsRjy2+VldFgw0y8s7OlXq1W3KfopLh4fV5xhf8HUX0RPhbdNWcE7BxNq6ONl+0m6Nt0ZCeZvcTta2XB8QyYMI9znFfmiuruHPbditXAu8cF+K2mrzrAXRlZTi5Pun15kE7dgTI1znOY8uc0k7eqPBcpsGTnwU2k0K9rTlQqrhPh+aZX165tr2tG6oPmSW5eKa\/48vI\/SPjnt9De04P\/suw\/wDMiWx9D3gn0\/2XtZX++5gtc90uFXE6XZroY6OJskg92WObnzYV8u0l29+HVu4SWDhVrLglLqKjtFvpqOZtRWxOhnfCBh\/dujONxkeS8Hx37bl\/4n6Mbwx0FpGk0RpJzBHPS0jwZZ4h0iy1rWsj82tHreJxkHWRsLupSlaOGFKe7c2uns65N3LU7GjWhfRqbpRpqKik859baxjk6m7AlxpqPsw3+6T0gqqamulzndTuO0sbYmOLDnOxG3TxXyDXvaV4U6u0ZddOWTs\/WqyV1fAYoLhFNCX07sg8wAhafDwI6rxvZn7auneA\/DCo4dXnh1V34VVdPVSSx1zImOZK1rSwtcw52ac7+K+g0Pa27Ol3onOpezJbY3OaW+3T5YcfyS2Nla1KV7VqzoSnmScWp7enmtyz7zTane0q2nUaNO6hTSi4yUqbl18ntePHo0c3se5rg9rsOByCF30Je\/7CcEpG7rODj\/8AFL8\/g7c4+ZdWcNu2Ho\/S\/C6z8L9R8NZrxT0NN6NO6Srj7qf64XgljmHbcdfJdPr9vcXMaEreG9wqRk1lLhZ82jhuyl1aWk7qN5UVNVKMoJtN8yx5Jv1n0fsIUtTRab1fe6sGG3vqYGCV+zC6Nj3P39we3PxXkuyFo+j1XxhvuvG0wdQWR00tJluzZp3OEe3mI+f4bLz3ErtYV2oNIP0LoLStLpGySsMc4hc0yOiPtRt5WhrAc7kDJ8xk58vw77YVg4ScMLroKw6MrJ7zcBUyG7NrGsaJ5GckbuXl5sMAbtnqD5rWXlpqCo3dy4balw4xUcp7YpYbb6cry8zb6dqGku5sLJVd9K0U5ue1pSm3lKKxnCfOWlnB2horTXEml4r67u2qqWiOldQMiZQNbVd49vcgxt5mY9XnY4k7+AC4w4U6Dr+Gfb5t+jqxznR0lwr5KN5+3pZKOd8J\/EcAfeCF8g4edoniZofXNl1bW601Dd6W21jJqmgqbrNJHUw9JIyHuLclhcASDg4PgvqGq+19pG\/8f9Icc6Lh3X0s2n6WekraV1exxq2uikZGWuDPVLe9dnIOQB0WqWn3ttKrTwpRnT28cLMY4jw31xxn1m\/lq2mXlOhVy4zpVt3pek3GUt08NLpnnHq4M\/0Qmkqa\/tDWyiooHz1FRZaOKGONpc573SyhrQBuSSQAF997ZN5s+l9B8IbdqaaNtVSattVZUNeQT3FNC4VDvgDIzPxC+a3b6IBwzuF7i1e7s\/RVGoaSMMpbhVVcL5YgM4Af3XM3GT081zFxr43az466sOqNXTRRshaYaGhgBEFJFnPK3O5JO5cdyfIAAY2thdV3QhXhsjSTy8rLb8sEl\/qtjaq6q21XvJ12sJJpRSeeW8Z9x1n9E2oK6S06FvEbHOoWT1dO6QbsErmsc0E9MlrHY\/ilTPYOhlsHZl1pf77E6G2TXGvqo3SbNkhjo4mvePdljm582keC+UcMu3TbqLQNNw3428PI9YW6hjbBDUDu3vkjZ7AljlHK5zRgBwIOAMjOSfM9obtySa60K7hNwo0c3SGnJ4+5qyHMEskH+YY1gDY2H7bGSemcE5ruyvPwSOmyp8KX1srGM56dclyGo6dK\/nrMKuZSjjZh5UsJYb6Y9Y7LuvO0rwV0fdeIum+HcupOGtW2avropahrI4u5BbJNE7JcxwazDvVIIaMjYFfZ7BpDsp9u2xXeo0ppOfRmtbfG2apkp4WwyRufkNe4M+tTxlwwSQHj\/Vzvzd2Z+2VeeBVirtA6j0zFqnR9e98noL5AySnc8YkDCQQ5jx1Y4YzuMZOfq1H2+ODHDa0XJvAzs+x2K63Nv12WYwwxF4zyl4jy54aXEhuWj4LG8trqVadSlTxPPEovCa\/6k3+wm067soW1OlXqp00nuhJZaf8A0NLjn1nFmqLBW6T1Nd9LXLl9Ls1dUW+fl6d5FI5jsfK0qMW5ebvX3+8V19us5mrblUy1dTIer5ZHFz3fKSStNdFHOFu6nIT27nt6BERemIREQBERAdBIiL6AfIgiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgC6km+wYh\/CH9cK5bXUk32DEP4Q\/rhXO9oetr+mh+067sl\/fv8AT1P3TltERdEciF6nQf7WPpVX+2aNSmn7tvov0jfA1\/Pn1ufvmkYxjGF5ZFHVp97Bwy1nxXDJaFbuKiqbVLHg1le9HbOm+2jwi0tp21aZt+n9VSUtoooKCB80cBkdHFGGNLiHgF2GjOABnwC3qjt0cK6mnlppNOamDZWOY4iKDOCMbfXFwwi5eXYrSpSc2pZfP1mdzD\/1K16nBU4yikljG1dD2fEF\/CORtLJwzbqwTPkkdWfTt9O5uDjl7vumg5zzZz7l4xEXT0aXcwUMt48W8s4i5r\/hNR1dqjnwisL4BERSkB1dwP8AsQOI\/wDOLj\/Q6dcorq7gf9iBxH\/nFx\/odOuUVzeh\/wBbvf0n7qOx7T\/2fpv6H95hERdIccbMM0nIIQ7lDuh8itGWzySyudJUyOB3wCt2OMOYCSpGB0T49x6zdisnSVT6xC6zoPMCDisFNn1oeb+NutqOzxtGGxtHwClS9jegCxun8AUVCnEjd1Wn4mmLW3lw5adRZaV\/ttBUq+Q4yStSWqjacLGcIY5RnSq1c5TIue1UsURDWDK8jf4o4xgdfBewr68BhDW7rxN6cZJOdxyStVeuKjiJv9L7xzzNkTT570YU9APUCgqc\/XPip2n9gLXUDc3ZmCyNWMLI1W0a9h3slR1YdipF\/slRtZ0Kwq9CWgvSPMXWDEnftHXZ3x81EynJK9JOxsnMxwyHbFedq4nQSOjd1H6Fp60cPJ09nU3La\/A1kRFVNgEREAG+yyAYGFaweKvWcV4mLCIiyPChK3bTc5bZVNnjJLDs9vmFou6oD7kjJxluRjOEakXGXRn1SmqY6mBk8Ry2RocD7lm5g0ZJwAvJaWu7IKN9NUu5e7PMzPiD1\/P+lZbxqDvo\/RqUkB3tOW\/jdw7tTfXyOSnp9TvnSiuM9fUS1y1S+ujNBTvw2P1Xuz7ShHnbqoeKcwSCQH4jzCkucPAcDkHcKjKvKs90upsI2cLVbaa4BOFaX+QVSrComTJAvKtLyUz7lRY5yZJGKpnEERkPXwHmVBPc57i5xyTuStq4VPfS8jT6rNh7ytbHmqtSW54RsqFPZHL6stRVIVFGWAiIvAEREAREQBERAdBIiL6AfIgiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgC6o4XcTeA83Aih4Y8T77PE4Tyy1FPFTVGR9ec9h542EeR2K5XRa7U9Mp6pTjTqSlHbJSTi8PKzjnD8zb6LrVXRK061KEZ7ouDU02mnjPCa8jqX0LsK\/wALXP8AFrv7iehdhX+Frn+LXf3Fy0i130ef2ut+uv5TcfS5fYLf\/bf8x1L6F2Ff4Wuf4td\/cT0LsK\/wtc\/xa7+4uWkT6PP7XW\/XX8o+ly+wW\/8Atv8AmOpfQuwr\/C1z\/Frv7iehdhX+Frn+LXf3Fy0ifR5\/a6366\/lH0uX2C3\/23\/MdS+hdhX+Frn+LXf3E9C7Cv8LXP8Wu\/uLlpE+jz+11v11\/KPpcvsFv\/tv+Y6l9C7Cv8LXP8Wu\/uJ6F2Ff4Wuf4td\/cXLSJ9Hn9rrfrr+UfS5fYLf8A23\/MdfXTij2b9K8G9V8PuG+oKkOvFNUviglpqpxfUSRNZ7b2YAIY0bnC5BRFe0zSqelqeycpOby3J5ecY8kavWtdra26feU4QVOO2KgmklnPRthERbQ0hsNc7ugB5JFJKyQOJwDsVb6RFFEOdwGB4qKqdRUkRLWvBx5bpOpGCzJnlOjOrlRjk9N3e2S5WeoDuV5Qate5hijYct6E7bLTnvtdKSecNyoZXtNdCSGl128S4PX1VVBEwlzwF5uvv9OyQiNrn48lCT11RIMPqHEeWVpyTNHiqNe9cvq8G0tdLjT5m8m\/U3uaUEMjDQVDVcj5CXPO6S1TR4rVMwlkawuwHEBa2pVc+rN3Qt1T+qsCmY90mQwkeYCnKfPItqjhZGA1rAGjoMKlQxrJnBgwOqmhS2LJWrXHevbgtCyBYwsgUqK7D\/ZUbWeKkneyVG1nQqOr0JaH1iHf7RUZdoO9j71o9ZnX3hScntFa0hznK11RZWDeUJOElJHnEWesp\/R5SAPVdu1YFQaw8M3UWpLKCAZOEV7BgZ80SyGXIiLPJiCg3VCCTgLZgp\/tnL1JyZ5KSiuTC2B7z5LYjpms3O5Wfla0YwqKVQSK8qjl0A2GAqEoSrHOXuTxIoTlbtBUZ+sOPTdq0CUa4scHtOCDleKe1icN6wTZI81Y4rHHMJYw8eP5ldkHqps5KW3BQlatwqe4h5Wn137D3DzWy5waC5xwAMkqDqZzUTF5O3QDyCiqS2osUKe+WX0RhVQSqIqrZsi4EFCAVarmnfdMnmMFvRFVwVF4z1BERAEREAREQHQSIi+gHyIIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiA87faqVkj4+fDc4UC+Zo3ympK+QXaphHRr8fmULJUSO6laC4r5qM62ytGqUX5oknVojcHB3RXOuLHDmDuqg3vcepKuhkwS0nY9PiqjrMvu1jjJIy1zj0ytWSpkd4rG8qxRyk2SQpRXgVc9zjuVmp4C8hYPFSNGQ0BeQW58irJxjwTNJU1LYw0kbDGcLJkk5ccnzWrHOGhXelNV9T4w2aeVNt5SNoK8HyWoKpnmrvS2gdVmpojdOXkbL3ADCjK1+xWWSrB6FaFTK5+cKKpNNYRYoUmnyaErtytdxKzSHdYXKhI28Ea9XAKiEt+2G7fioYgg4K9Aoy40\/I8TNGz+vxVerHK3F63qYe1mm0ZKyKjRgYVVGkWmUyrmtLzgI1hccALbiiEYyRusoxyYTntLYoA3crP0VAQN8qx8nkpliKK7zJ8l5OVQnCtDx4qjpMo2EmCd1RUJCplYtoyKFW8yuWN+QsGZx5Nqjn7t\/I4+q\/9K31CBykY6xopTI8+swYPvPgpIS8GQVqTzlGG6VOAKdh67u\/sUaqve6R5e45LjkqirylueS5TgqccBERYmYREQFQfAqiIveoCIi8AREQBERAdBIiL6AfIgiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiID5\/qBrTearLR7fl7go0sZ9w35lJag\/74qv4\/wCoKMcVzFb8pL2s7W2z3MPYvkY3MZ9yPmWCbkY3Aa3J9yzOdgEnoFpvkL3ElV5Mu04tvJma4SMz4q1YY5eR\/uOxWc9Vj1JGtrA6rajfyhao3KzjYLKPBFNZMzqkgbLEat4WJ5KxklHNnkacTOax481X01581qosd7JO6j5G4ypc44JV5lyMLRDsK8SOPislMwlS8UXyDfKwu6rM45busLuqxkZwKLXqXAju8A+JWZ7wxpcVqEknJ6lRMnguclvIz7kfMrmRNe7AYPmVFtU7OUcxCRjlmcpbVkvZBHE32Gk\/BWlgcd2j5lmIzuVacKbBX3PqY+7b5D5lQxs+5HzLIVYUwepst5GD7UfMqGNn3I+ZXFUysWZrJYWN+5HzKnKwdWD5lerXLwyTHKz7gfMqOjYR7I+ZW5Pmrgduq84Z6YjGzryD5lQNZ9w35llIyrCFi1gzTKd3H9w35lTu2f5tvzKquyCscDLLO7Z9w35k7tn3DfmVUQZZTkZ9w35k5GfcN+ZVRBllvdx\/5tvzKvIwfaN+ZVRMDLBjjI9hvzK3u4\/8235leFRMDLLe7j+4b8yd3H\/m2\/MrkTCGWW93H\/m2\/Mio+aNh5XO3RecGWJM+5oiLuT5aEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAfP9Q\/8AfFV\/H\/UFFOzlS2oB\/wDTFV73\/qCi5fUaXLmK35SXtZ2tt+Sh7F8jUqH\/AGgPxWsc5WcsLjzHqVTuj5qs02bGLUVg1y0lbEGXjlPUfoVO7VzcRuDsrzGD2UtywZgzG6vxhOZpALVRz\/zLPhFfLZY\/CxHZXOdkqwrBsliiiIijZIFcxWq5ngvY9Tx9DI4+rusJ6rMWkha855G7dTsFlIxh1wYJ38zuUdAsSqQQqKEtJYWC6NvM4BbrBvgdAtanAGXFbMXQuKmgiGoy55wFZlVO5TGAs2RotyrVVyovDJFDhWqpVD0WBmUJ8lYSqlytXjZmkERFiZFQ7zVFTKqvcjBaQqK9WkYKxaPSiIi8AREQBERAEREAVHuDGlzugVVqVUvM7ux0HX4ryTwjKEdzwYXuL3FzupRURQFs6CREX0A+RBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQHhb4wm7VJ\/1\/1KGqPXfyjo39KltRy93c6kA7l\/6lBueuZr47yXtZ2lnF91F+pfIoWADKsOArXSe9Y3SEqu5Ivxi2XukA2WF0itc4nZWEqNyJ4wSM8E+T3Z8eizZztlaAJByOq3Y387AR8q8TyYTjjlFSMKivDSfBXtiWSRHuwYSMqgatoQ7eyq90sth53iNYRErNHHjwWQRq8Nx0CyUcGEqmTERjrstCZ3O8nG3gtyqfgcg6nqtMjKxmS0fMxFqtLc+Cyqob7lFjJY3YKsb6oaFnDeVuFbE3O5WQqWKwQSlllio7YK4kN6rWlnJcGtBc4nAAGSSvJSSPYxcnhFznAdVaZGr7jw77EXaK4kww10OlI9O0E4Dm1N9lNLlp6ERBrpf\/0L7javoWV1fTtffeNFNFOR60dJZXSMafc90zSfxQtRX1uyoPbKos+rn5ZOhtezeo3Ud0KTx68L54OHO8aUJB8V2hqf6Fxrikp3S6N4rWa5zAZENxoJaMH3c7HS7\/7IXwvWfY67Suhu8kruGVwucEWSZrORXAjzDY8vx\/spR1izr8QqL38fPB5cdntRtealJ+7n5ZPj5RY5zUUVTJR11PLT1ELiyWKZhY9jh1BadwfcrRO0+K2Cmn0NU4SjwzMisEgKuDgV7lHmMFD1QFV69FQheArlVIzsrFcDlEwUIxsqK4jKtRgIiLwBERAEREBZNJ3bCfE7BaHVZJ5e8fkdBsFjUMnllmnHagiIsSQ6CREX0A+RBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQHznUryb1VA+D8D5goV7lL6lafp3Vn\/X\/UFDvafJctXz3kvazvLRLuYexfIxk5VrjuriCOqtIJVZl1GNxVCCVlERPgsgiI8F5tyZb0jXDHHwWxTN5HYPQq7uwFcAs1HBHKeVg3GxAdVeGgdFjgfztweoWXBHgpUUpZTwyiYQkDqgw7ovQgqOcGtLj4KrsM6lalRUBzuQHYdfivG8GUYuTLJDzEuPUrCQsnMD0VjlGyyuC1VaN1RXxjJyvMGTZla3ZUecAq4HAWvUycrTusm8IjinKRKaT0nqXiDqeg0bo+2SXG7XOXuqeBmBk9SSTs1oAJJOwAJX6i9mzsaaC4H0MF8vlPTah1i8NfLcZ4w6Kkdj2KZrh6oB+3I5j7hsvM9gTs+0\/Drh7HxO1DRRnUurIRLCXt9ejoCcxxg+BkwHux4FgPRdXr53ruszuKjt6LxBcP1\/8fM+u9l+ztO0oxu7iOaj5WfzV4e\/5BERcydqEREB5vVvDbh\/r2Ew600XZb00jlzW0UcrgPIOIyPkK584gfQ5ez9q1z6rTUN20hVOycW6qMtOXeZim5sfBjmhdTorNG8r2\/5KbXv\/AGFO50+1u1\/T01L3c\/Hqfmlr36GJxSszJKvh5rWzaijbkilrA6iqHe5p9aNx+LmBc8a17PPHbhyyWfV3DC+0tPDvJVRUxqIGgeJki5mge8lftoi3FDtJdU+KiUvuf3fwOfuux1jW5pNwfxX38\/efgQysaepWUTtPiF+1+t+z3wT4jPkm1jwzsVfUTZL6kUoincfMyx8ryfflc66++hh8KL1JJWaA1be9MyuyW005bW0zfc3mxIPle5bmh2mt58VU4\/ev+\/cc3ddi7unzRkpL4P7+PvPzdD2nxVQfIrpvX\/0OHtAaRY6r0pJZ9YUzSfUoqn0epA8zHNytPwa9x9y5+1fw44kcPZO71zoe92T1uXnrKN8cZPkHkcp+Qrc0NQt7j8lNP5\/A5y60m7s\/y1Nr3cfHoQ4KELXjqGu6FZ2uDgrqeUa5xa6lEVVRDwIiIAsNVLys5B1d+hZXODGlx6BR8jzI8uPisJvCJKccvJRERRFkIiIDoJERfQD5EEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAfOtQgfTqr\/AI\/6gox4aBupHUkgbeqsePP+oKIe4lcxXeKkvazubVN0YexfItfy\/FUawHwVQw+IWQbeCg6lvOEWgYQqpJPVUOV6eFpJCuac9QrSB4qnN4DKxPcZMzJO6cHZW4yZpGQcrThpJJ9\/BZDH3P1t3XwWaylkhmoyePEySyB2wVjXub0V0ML5ncrVIxWwxN534IXsYym8oilUhTWGRb+Zzc5wT0VraYsGXgEea26qSEu2Z02BC1WsllPqnZGkmSQk2s9DWkYOb1Nsq1we32gVICKFjfrrcFWhnPkRjK8cCRVTQBHmskaulgYCcgtKsjBbnxCwxh8kmVJZRkJxuvRcJtDv4n8VtK6BBeIrzdIKeoczqyn5uaZw94jDz8i8y92y6k+hv6Fm1JxwuGspoOai0ra3u5yMgVVQe7jH4gnP+yqGp3H4NazqrwX3+H3m00Sz\/Db6nRa4bWfZ4\/cfprSUtPQ0sNDRwthgp42xRRtGGsY0YAA8gAAsyIvkp986BF4PjZxl0lwH4fV\/EXWLpX0VC+GNtNTlnpFQ+SVkYbE1zhzEc\/MQDs1rj4Kai4iaClsbNSjWliFqe\/uhWG4w9x3mASzvObl5hkbZystssZxwYb47tueT0SLztx4i8P7O2nfdtc6fom1cLainNRcoYxNE4Za9nM4czSNwRsVC6t4x6T09oqt1vYqiLVVLQyxQyRWWpiqH8z3ho3a7AxnPXoF7CnOpJRiuWY1a1OjBzm+Ess94i8\/dNf6JsAgbqTVtms81RE2ZkNfXxQPLSPJzhlSFl1BYdR0np+nr3QXSm5uXvqOpZMzPlzMJGVi00ZqSfRkgihrhrTR1pu0Vhuuq7PR3OYNdHR1FdFHO8OOGkMc4OOSDjbwWvrDiDozQFG2v1lqGltVM9zWCWcnlBdnlBIBxnlOM9cHHRZQpzqSUYJtsxqVqdGLnUkkl1beEvaehRfL\/AKp7gB99Wx\/7139ifVPcAPvq2P8A3rv7FZ\/F93\/9qX6r\/gUfxzp32iH68f4n1BYK6hobnRzW+5UcFXS1DDHNBPGJI5Gnq1zTkEe4rxWmeO3CDWV5g09pfX9quVyqebuqaCQl7+UEnG3gASveKCpRq0JbakXF+tYLdC5oXcXKhNTXThpr2cHInH76Hjw417STXvhPFT6P1C3LxTRtP0uqj9y6MfuJz0czYeLT1H5u6w0fqvhzqet0drazT2u7W9\/JNBKB8jmkbOaeocCQfBfu6ufe2J2Z7Zx90DNXWmlZFrKxQumtFS1o5pwPWdSvPUtfvy7+q8g9Mg77SdbqUJqlcPMX4vqv+Dlte7M0bqm69rHbNeC6P3eD+Z+SYOQixME0Ej6apifHLE4xyRvHK5rgcEEHoQfBZV3ieVk+Vyi4vDCIrJZBGwu8fD4r08SzwYKuXJ7sHYdVroSScnqUUDeXktxjtWAiIvDIIiIDoJERfQD5EEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAfONRRc17qyfF\/6gtARNB6KWv5jF5qsvAPP+oKMc6P7sLmqqSqS9rO2tpPuYexfIs5WjoFaQPJXOkiH24WF9RENg4KF4RZimyrsZ3VrnbdFjMvOcNIWxDHC4ZkkA+VYp7uhm1t5ZjihkndhgytuOjbTn6+MfFazbjFQS4Dg9p8lWa4x3CVsTn8rSeq9TgvaYyjUk+nomxLWsZllO3dYRBPK8Syg4zlSUdro2xCVkw5hvueq1zNI9xp427+alcH+cQRqR\/8Ap+\/JuQugiYJGbHyVKmvklj7pjCCevwVaG0uLszzbHfl96kI6NjM5YN\/cpoQm15FOc6cJZ6kPHRMeOaQrFKGw5ZEMqZkosEluy1hRtjkLnt8V5Kk1wSQuE+WyIayV5+ug496uc6GH2HHI81KVvIYw1jc58QFFm3zyZkJOPIqKUHHhclinUVRZlwYHvkmOHDI81ZIBH6oW33kcMZaCMhR73l5yVDLgs0\/S8OCyZ2Glfpb9DW0Y6x8E7hq+aHlk1PdpHxuI3fBT\/Wm\/Jz97+dfmdKHyubDG3me9wa0eZPRfttwa0ZBw84U6T0XBCI\/pTaaeCUAYzNyAyuPvLy4n3krke1Vxst40V+c\/uX\/ODv8AsNad5dzuH0ivvf8Axk9kiIuCPqhzl9ED0gdXdljVkNBpg3q8UctumtjIaL0iphkNfTtkfCAC5ru6dICW78hcDtleZ4m8EtG1XHzgLoij4V2v9gcMOo6+52yms7G2sVZo4+7fURsZ3XMXMGOcbkeK6N4l6Wqda6Cvml6Gvnoquvo3spqiCV0T4px60bg5pBHrtbn3ZXO\/Yc4r3m527UfCzXVbVPvOnKh9VHJXTOdL3JcWyxuLjn63I3xPR+PBbW2tp1LOdxTf5N8rxxJYz7maC9vadDUqVpWjhVVxLwzB5cfev4HxjjDoer0X2mdZ3C66GpItN11stNPp2Sp4ZO1RQsp4KcRuhp2tc1lNyFoBaOoxsABnyV\/0C6v4ScYbto6lutbW392neezW\/h1UadpYu4qHN54IOd7XkjJdygYOSfaU1xf40cQdZ8Wbvxd0NWXJmnNE19LS0skUzmwtZ3jgwvaDgiZzJCQRu04K6t43doC32fs2t4j6WuDW1eqqSOktb2O9aKeZp7wjyfEBJ8HMW0r6Vc2\/cR6ueE\/+l8PD93PxNFa9oLK8\/CpPMY0lKSf+KPKzHp48e9eJ864ScE9LcRO0LxjvfF7hpTX2Gmbp+ms019tvfQtiFABIIO9bybOa0OLehG\/ivEGi4l9n\/UXaOn4CcPquipqe4afks1JTWiSamZFJG30qWmgAAl5A55LW5A+Aws921BxN4I9ku16gOqLq3Uuvrqwuqpqp8k1FROhkcxsbnEljy1jTkYI7w9CFraT4VWnUmmrbf9Q9uKntlxuFNHU1FFJd2OfTvcMmNxfWNcXDODlo38FktISUqlSqtmdq9GUs7cZeFnCyiOXaNylCjRt33m3e8zhHCnnCzLGXhp+o8lx9nreLmjLnR2246r1lrCtZT09ubNwg9CqnubM0gNriznga0cxyHYxkdCVKdrLXGsNCdqfhdpmWpjrKTUmkLVYtR2+rHfU1fFJXVDJOdv3QcS5rxhzTuD1zG8Ta2\/8AAS72C+8N+0\/LraWaR7p4qW4CVkXIWkNlY2eVrmuyRhwHT5vMfRLeW9dpDhxz3llkbXaYt5Ne9+G0QfXVP10nIwGZ5s5HTqFHcWDtHSqQlmMt2HhpprHg0n7Cez1daiq9KpT2zg4ZW5STTz4ptP1\/+TsQ9hDs\/k5+l17H\/wCZu\/sVPqD+z\/8Awfe\/ym7+xcnaP7Ll24gXluntD\/REKO+3N0bphSW+vqJ5SxvtO5W1ZOBkZKz8LtWce+yt2wNPcCNc8U6\/WNi1JPS0r2VNVNPE5lTlsUrGzFxhe2TGQ04IBBJ2xXeoX7yo3Mm1zjLRdWkaSmnOzgk3jOIv5HvtCaA09ww7ddNonSsc8dsoIw6Fs8pkeDJbxI7Lj19Z5Xei4uqP\/aMyfyMP\/wALYu0V72gnKrK3nN5bpQbfr5MOyFKFGF5SprEY16iSXgljCCIi5868\/JXt+8NI+HfaFrrpQUoit2rqdt6i5Rhvfuc5k4+PO3nP8oFz005C7++iqWynOn+Ht8c1olgrq6kDvHlkjidj54wvz9imjLfbC+k6JXdazhKXXp8OD412ltVbajUjBcN5+KyZVpVEvePwOjdgs88wDOVjsk+XgtPB8ls5vwRpqUccsImD5Jg+SjJgiYPkmD5IAiYPkiA6CREX0A+RBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQHzfUbSb5V4H2\/6go90OBzOOFKakmjivFXgZdz\/qChJZpH9cgLmK7SqS9rO6tFKVGHsXyMchycBVhozOeqzUwpyPXO6wSyyMmDaQk+5QYS5ZbTb9GPBeSyhcGyt+BWBzn1kwZTnlJ8QrzDMZGurWEN69NlIGipO7E1PIGOaOoOyKLnx4HjnGnhvr9xpyWaaBnfPHeKKleTJyxtIIKm23Soe40bmguH2w8VnobIXVBqpuXB6YR0lUaVM9jcOim6\/uFjpK6RvNUPPJ5FegayngGQGqPq66Kkb3bMDCjJbv3x5WOz5q3GcKC29Wa2dOpdy34wj0QrYo\/XJG+wWRlYx\/ReMnrqiR4aAR5AKQopbkQAIDjzKRut0sJHlSw2x3Nnqmysfssgp2SDGOqi6aKsOHSeqFIMnMW2clXYS3ctGsqQ2vEGH2xgPMQPNYZYWtHKtkVLn9SsMzgfFJKPgISnn0mRc9thky7G689VR91M5g6Ar082QdivNXJ3LUPWuuUkuDc2MpSeGz6H2YdCN4k8f9Gaanj7ykbcWXCsaRkGCn+vOafc7kDP8AaX7NL85voYmhH3PXWrOI9TF9Ys1DHbKZxHWaodzPIPm1kQB\/lAv0ZXy\/tLcd7ed2ukV975\/gfb+xlp3Gn961zNt+5cL78hERc8dcF+fva503qzg5xpn4g6JdLSUuuaCopnyQtyDPLGYqiPA+2IcyQH7o5G7Sv0CXj7brmz6i1rctFOt0HpFmdzkz1VOZC4NY4PZBzGUN9cYeWgZBW00nUJabXdXbui0015r\/AMmi7QaPHWrZUN+yaacZLnDXw8M+J8z4M9na22Xs5TcNtU0TBXappH1V1y31oqiVoMYz91FiPH+s0lcdcOeG2ute8VbJ2ftUvrI7VpO5VU1XTlpApoedrp3j3ScrA09PXBHXf9DtKcU7BrC93CwWuKb0u1CpFa0uYTTvhqpKfkeASWOf3RkaCBlhBWhw84qWrXtFer5TaVuNrfbI4nzGrjjZJM10ZkaAc5yG4PrYHrNIJByr1rr1zbOtKUcufK\/6ZPKyvc8fA1V92Ss71W1OEtsaaUWsfXimntfTxWfa34nzbtscMtQa34P2+m0VZpq2ewXKKq9BpYy+R1MIZIyI2N3cW8zNh4ArmLTvEPsv2axUFq1n2crvPfKSBkNfM2vmYJZmjDn8pkaW5O+MDGV3Ra+NGl71w3q+JNrinqaSgAZU07HsDopiGZYZC4R4b3jS5\/NygcxzsVdJxgskHDMcT56CZlvFQad7PSIHYxVGmMgkDzG6PmBeHNceZuCAScLyx1mVrbq2qQbSbw1NwfPg8dRqvZmF\/eO+oVYxbik1KnGosLo1uxg4v40cSexzwW15UaCu\/ZsvtzqaekpKs1FHXy92WzwslaBzTg5AeAfeFZ9Eb4S6zu2qeHvHHR+h6rUVltFrhpLhQxUrqgQRxTGeMTMaCe7eJXNJxgcu\/ULu+5cQNKWnQ0nEatujWWGOiFf6SWlvNE4Atw04OXZAA6kkBctO+iPacDiGcLbkW52JucYJHw7teW1PUdUaqUYynt4eZZ6+1\/Izva2jaCnSuJwpuphrbDD48XtTyvLPrx4nw3Sf0QLhDoO5svOmexhbbFeGROhdU26php5AHe00ObShwBx0Wrw6n4mdsbtnaV43s4Z3HTmmtPVFHUT1EofJBFHSZkawzuYxr5HvwOVo2BzjAJX3v\/tH9PfesuP5UZ\/hp\/2j+nvvWXH8qM\/w1Z\/EmpRy4W+G1jO5P9pS+lOiywql3lJ5x3cl+6a1R\/7RmT+Rh\/8AhbF2ivz64ScS6bi\/21qDiBSWmS2xXKMtbTSSiRzO6oREcuAAOeTPTxX6Cqv2ipToToUqixJUop+1ZLfY2vTuaV3XpPMZV6jT808NfcERFzx2J+f30VvUFMKXh5pRkoNQ+WvuEkYO7WARRsJ+JL8fxSuAI9hldCdv\/Wx1n2m77TRz89Ppump7LEAchpjBfIP95K\/K578ML6No9LuLOCfln48nyHtDXVzqFSS6J4+HH7CpJJyqq1VafBbNM0jRVERZGIREQBERAdAIiLvT5KEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAfN9QGJl\/qzL4yfqCia6SL\/IKQ1UDPfapgwOV+M\/IFqW1sUc\/JKznyuXrelVlFebO8t8QoQm\/Jce406SmdUy8jncikTaKiid6REQ8Dchb9ZbaZ0ffxAsd4YUXR1tZVSPpe9wB4led3Gk9suvgZd9Kut0HwuqNr6a09TG6nfF642wolzZIKlwdzMid0B6LbqKV1sn9IJa8uO6kH1NLW0mZID09yNOpxJ8o8Uo0OYLMWa1LQUksjZWS4PjgqQrK2Okh5WOyV5ymhkdVvZDKWtDtglzjqYyeeYOb+dYxrbINpGcrbvaiUpZNa4V75nkcxWa12+rqSBCwku6k9Atmx2FldL3s8gLW74XtKWCCjYGRRgYXlC2lWe+b4F3fQtY91TWWRlu03HTATVJ53refyQnAACvqa4saQGqCrbm5pOGlX5OnRWImogq11LdNku6sAb7S131rR9soB9wlf0Wu+tkJ3JVeV0XYWHmemFwaNgVQ1nOcArzLKt+fFbEda9pWKuWzJ2Kj0J3Jeeq89fWmKoJ81LW2odLJkrWvlG6ur6OkY8MdVSshDj0Bc4DP51jcNSpORlaRcbhQ8z9PPofOin6T7OVsulRAYqjU1ZUXVwIwTGXd1GT8WRBw9zgulVDaMsFHpTSFj0vbmBlLaLdTUMLR0DIomsb+ZqmV8Yu6zuK86r8W2fpCwtlaWtOgvzUl\/EIiKuWwiIgCIiAIiIDBWUVFcIDS19JDUwuIJjmjD2kjpsdlofsR0p\/oxaf8Ago\/7qlkWSnKPCZhKnCbzJJkT+xHSn+jFp\/4KP+6n7EdKf6MWn\/go\/wC6pZF73k\/NmPc0v8K+BHUundP0M7aqhsVvp5mezJFSsY4fAgZUiiLFycuWzOMYwWIrAUdqO+UemNP3PUdxdy0trpJqyY5x6kbC4\/mCkVz928NZ1Oi+zFqyaia\/0i7iCzse045GzyBshP8A92HjbxIUlCl31WNPzaRFdVvwehOt\/hTfwR+RmotRXLWOp7vq+8y95X3qunuFS7wMsshe7Huy4rTWGEbAeSzL6jBKMUkfEaknOTk+oREWRgXA5RWg7q5ZIxYREXp4EREB\/9k=\" width=\"309px\" alt=\"cientista de dados curso\"\/><\/p>\n<p>N\u00e3o indico para quem j\u00e1 possui certa experiencia e quer conhecer coisas novas. Uma das tarefas do Cientista de Dados, \u00e9 apresentar seus resultados. Ningu\u00e9m melhor que o profissional que faz a an\u00e1lise, desde a coleta, <a href=\"https:\/\/www.florestanoticias.com\/2024\/05\/07\/como-a-ciencia-de-dados-e-o-aprendizado-de-maquina-estao-revolucionando-o-mundo-dos-negocios\/\" target=\"_blank\" rel=\"noopener\">curso de cientista de dados<\/a> limpeza e armazenamento dos dados, at\u00e9 a aplica\u00e7\u00e3o de modelos estat\u00edsticos, para explicar seus resultados. Uma visualiza\u00e7\u00e3o efetiva de dados, pode ser a diferen\u00e7a entre sucesso e falha nas decis\u00f5es de neg\u00f3cio.<\/p>\n<div style='text-align:center'><iframe width='561' height='314' src='https:\/\/www.youtube.com\/embed\/Pl0Ki7zm8yI' frameborder='0' alt='cientista de dados curso' allowfullscreen><\/iframe><\/div>\n<h2>Aprenda t\u00e9cnica de an\u00e1lise, estat\u00edstica, modelagem e visualiza\u00e7\u00e3o de dados!<\/h2>\n<p>Mesmo assim, a plataforma sugere 10 meses para completar, com 5 horas semanais de dedica\u00e7\u00e3o. Esse curso faz parte do Coursera Plus, que \u00e9 uma assinatura onde voc\u00ea paga uma taxa fixa por m\u00eas e recebe acesso \u00e0 todos os cursos, podendo <a href=\"https:\/\/www.florestanoticias.com\/2024\/05\/07\/como-a-ciencia-de-dados-e-o-aprendizado-de-maquina-estao-revolucionando-o-mundo-dos-negocios\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.florestanoticias.com\/2024\/05\/07\/como-a-ciencia-de-dados-e-o-aprendizado-de-maquina-estao-revolucionando-o-mundo-dos-negocios\/<\/a> cancelar a hora que quiser. Para completar todos os cursos, \u00e9 sugerido um per\u00edodo de 5 meses, com 7 horas por semana de dedica\u00e7\u00e3o, mas vai do perfil do aluno. Nessa forma\u00e7\u00e3o, o somat\u00f3rio dos m\u00f3dulos totalizam 148 horas de aula.<\/p>\n<ul>\n<li>As organiza\u00e7\u00f5es t\u00eam dificuldade em recrutar pessoas para cargos que exigem habilidades de an\u00e1lise de dados, e a demanda por esses empregos continuar\u00e1 a aumentar, com cerca de 11,5 milh\u00f5es de empregos relacionados a dados criados nos EUA at\u00e9 2026 (BLS).<\/li>\n<li>Seu conte\u00fado possui alto n\u00edvel e \u00e9 100% em portugu\u00eas, diferente da maioria dos outros cursos de ci\u00eancias de dados apresentados aqui.<\/li>\n<li>A interatividade da plataforma \u00e9 \u00f3tima e d\u00e1 vida ao curso.<\/li>\n<\/ul>\n<p>Tamb\u00e9m ter\u00e1 a oportunidade de concluir um estudo de caso que poder\u00e1 dividir com empregadores em potencial para mostrar seu novo conjunto de habilidades. Nenhuma experi\u00eancia anterior com  planilhas ou an\u00e1lise de dados \u00e9 necess\u00e1ria. Tudo que voc\u00ea precisa \u00e9 ter n\u00edvel m\u00e9dio de matem\u00e1tica e curiosidade sobre como as coisas funcionam. O curso \u201cIntrodu\u00e7\u00e3o \u00e0 Ci\u00eancia de Dados\u201d \u00e9 gratuito e ser\u00e1 realizado totalmente online, com carga de 60 horas. As aulas ser\u00e3o baseadas em uma bibliografia sugerida, em l\u00edngua inglesa, com os principais conte\u00fados em Data Science da atualidade. Parte desse material \u00e9 aberto, mas h\u00e1 itens de acesso restrito e, nesses casos, os participantes dever\u00e3o arcar com custos dos direitos autorais das obras que subsidiam os estudos.<\/p>\n<div style='text-align:center'><iframe width='564' height='314' src='https:\/\/www.youtube.com\/embed\/xhDqAKaRSZo' frameborder='0' alt='cientista de dados curso' allowfullscreen><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Nesse sentido, um projeto aplicado substitui o tradicional trabalho de conclus\u00e3o de curso, que pode ser na \u00e1rea de Dados da WEB, Fluxos Cont\u00ednuos ou Dados Modelados por Grafos. O m\u00e9todo de pagamento \u00e9 exatamente o mesmo da forma\u00e7\u00e3o anterior, dependendo da escolha do aluno entre per\u00edodo fechado de 4 meses ou pagamento mensal. Tamb\u00e9m [&hellip;]<\/p>\n","protected":false},"author":33,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-125","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacao"],"_links":{"self":[{"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/posts\/125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=125"}],"version-history":[{"count":1,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/posts\/125\/revisions"}],"predecessor-version":[{"id":126,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=\/wp\/v2\/posts\/125\/revisions\/126"}],"wp:attachment":[{"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kolbepezeshk.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}