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nasscom_preprocess_html(Array, 'html', Array)
call_user_func_array('nasscom_preprocess_html', Array) (Line: 287)
Drupal\Core\Theme\ThemeManager->render('html', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 162)
Drupal\Core\Render\MainContent\HtmlRenderer->Drupal\Core\Render\MainContent\{closure}() (Line: 580)
Drupal\Core\Render\Renderer->executeInRenderContext(Object, Object) (Line: 163)
Drupal\Core\Render\MainContent\HtmlRenderer->renderResponse(Array, Object, Object) (Line: 90)
Drupal\Core\EventSubscriber\MainContentViewSubscriber->onViewRenderArray(Object, 'kernel.view', Object)
call_user_func(Array, Object, 'kernel.view', Object) (Line: 142)
Drupal\Component\EventDispatcher\ContainerAwareEventDispatcher->dispatch(Object, 'kernel.view') (Line: 174)
Symfony\Component\HttpKernel\HttpKernel->handleRaw(Object, 1) (Line: 81)
Symfony\Component\HttpKernel\HttpKernel->handle(Object, 1, 1) (Line: 58)
Drupal\Core\StackMiddleware\Session->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\KernelPreHandle->handle(Object, 1, 1) (Line: 191)
Drupal\page_cache\StackMiddleware\PageCache->fetch(Object, 1, 1) (Line: 128)
Drupal\page_cache\StackMiddleware\PageCache->lookup(Object, 1, 1) (Line: 82)
Drupal\page_cache\StackMiddleware\PageCache->handle(Object, 1, 1) (Line: 50)
Drupal\ban\BanMiddleware->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\ReverseProxyMiddleware->handle(Object, 1, 1) (Line: 51)
Drupal\Core\StackMiddleware\NegotiationMiddleware->handle(Object, 1, 1) (Line: 23)
Stack\StackedHttpKernel->handle(Object, 1, 1) (Line: 718)
Drupal\Core\DrupalKernel->handle(Object) (Line: 19)

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nasscom_preprocess_html(Array, 'html', Array)
call_user_func_array('nasscom_preprocess_html', Array) (Line: 287)
Drupal\Core\Theme\ThemeManager->render('html', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 162)
Drupal\Core\Render\MainContent\HtmlRenderer->Drupal\Core\Render\MainContent\{closure}() (Line: 580)
Drupal\Core\Render\Renderer->executeInRenderContext(Object, Object) (Line: 163)
Drupal\Core\Render\MainContent\HtmlRenderer->renderResponse(Array, Object, Object) (Line: 90)
Drupal\Core\EventSubscriber\MainContentViewSubscriber->onViewRenderArray(Object, 'kernel.view', Object)
call_user_func(Array, Object, 'kernel.view', Object) (Line: 142)
Drupal\Component\EventDispatcher\ContainerAwareEventDispatcher->dispatch(Object, 'kernel.view') (Line: 174)
Symfony\Component\HttpKernel\HttpKernel->handleRaw(Object, 1) (Line: 81)
Symfony\Component\HttpKernel\HttpKernel->handle(Object, 1, 1) (Line: 58)
Drupal\Core\StackMiddleware\Session->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\KernelPreHandle->handle(Object, 1, 1) (Line: 191)
Drupal\page_cache\StackMiddleware\PageCache->fetch(Object, 1, 1) (Line: 128)
Drupal\page_cache\StackMiddleware\PageCache->lookup(Object, 1, 1) (Line: 82)
Drupal\page_cache\StackMiddleware\PageCache->handle(Object, 1, 1) (Line: 50)
Drupal\ban\BanMiddleware->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\ReverseProxyMiddleware->handle(Object, 1, 1) (Line: 51)
Drupal\Core\StackMiddleware\NegotiationMiddleware->handle(Object, 1, 1) (Line: 23)
Stack\StackedHttpKernel->handle(Object, 1, 1) (Line: 718)
Drupal\Core\DrupalKernel->handle(Object) (Line: 19)

Learn Data Analytics: 10 Key Skills for a Data Science Job

Artificial Intelligence

June 2024

Data science is one of the most sought-after fields today, offering promising career opportunities and impactful work. To land a job in this dynamic domain, you need a robust skill set. Here are the ten key skills required for a successful data science career and how FutureSkills Prime can help you acquire them.

1. Python Skills

Python is a fundamental language in data science due to its versatility and the plethora of libraries it offers. Essential libraries like pandas, NumPy, and scikit-learn are crucial for data manipulation, analysis, and machine learning. Mastering Python allows you to perform complex data operations with ease and efficiency.

2. Statistics and Mathematics

A solid understanding of statistical concepts such as hypothesis testing, regression, and probability is essential. Additionally, mastering linear algebra and calculus is crucial for developing and understanding machine learning algorithms. These mathematical foundations enable you to build robust and accurate models.

3. Data Visualization

Creating compelling visualizations is key to communicating insights effectively. Tools like Matplotlib and Seaborn help you create informative and attractive charts and graphs. Effective data visualization allows stakeholders to understand complex data easily and make informed decisions.

4. SQL/NoSQL Databases

Knowing how to query and manipulate data using SQL is fundamental. Proficiency in SQL databases like PostgreSQL and NoSQL databases like MongoDB enables you to handle diverse data storage and retrieval tasks. These skills are essential for data extraction and preprocessing.

5. Machine Learning Algorithms

Understanding both supervised and unsupervised algorithms is vital. This includes knowledge of regression, decision trees, clustering, and more. Additionally, familiarity with deep learning frameworks like TensorFlow and PyTorch allows you to tackle complex data problems and build advanced models.

6. Big Data Technologies

Familiarity with big data technologies such as Hadoop and Spark is crucial for handling and processing large datasets. Understanding MapReduce and distributed computing allows you to process data at scale, which is a common requirement in data science roles.

7. Feature Engineering

Transforming raw data into meaningful features is a critical skill. This involves handling missing values, outliers, and categorical variables effectively. Feature engineering enhances the predictive power of your machine learning models.

8. Business Acumen

Connecting data insights to business goals is essential. Understanding industry-specific challenges and how data can solve them helps you create relevant and actionable insights. This skill ensures that your data science efforts align with organizational objectives.

9. Communication Skills

Explaining complex findings to non-technical stakeholders is a key aspect of a data scientist's role. Effective communication skills allow you to present your insights clearly and collaborate effectively with cross-functional teams, ensuring everyone is aligned and informed.

Curiosity and Adaptability

The field of data science is constantly evolving. Staying updated with new tools, techniques, and trends is crucial. A curious mindset and willingness to learn continuously will keep you at the forefront of this rapidly changing field.

How FutureSkills Prime Can Boost Your Data Analytics Skills

FutureSkills Prime offers a range of nasscom-certified data analytics courses designed to equip you with these essential skills. Here are some of their top programs:

Power BI: Master data visualization and reporting with Microsoft's powerful tool.

Tableau: Dive into interactive data visualization and storytelling.

Data Science Master’s Program: A comprehensive program covering all data science essentials.

Data Analytics Training: Develop key skills in data analysis and interpretation.

Certification Program in Data Analyst: Prepare for roles as a data analyst with this targeted certification.

MS Power BI: Learn the ins and outs of Microsoft Power BI for effective data analysis.

The Machine Learning Pipeline on AWS: Understand machine learning workflows on AWS.

Certificate Course on Data Analytics: Gain in-depth training in data analytics techniques.

DevOps Certified Professional: Explore DevOps practices to enhance your data engineering skills.

Mastering these ten key skills will significantly boost your prospects in the data science field. FutureSkills Prime provides some of the best certified courses to help you learn data analytics and big data analytics, offering a practical and comprehensive approach to learning. By enrolling in these courses, you can acquire the essential skills needed to excel and land your dream job in data science. Start your learning journey today and stay ahead in this rapidly evolving domain.

Learn Data Analytics: 10 Key Skills for a Data Science Job

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Learn Data Analytics: 10 Key Skills for a Data Science Job