The Data Analytics using Python course is designed to teach the students the use of Python data science libraries as a tool for data analytics.
The Data Analytics using Python course is designed to teach the students the use of Python data science libraries as a tool for data analytics.
Graduates will be able to apply for entry level Data Analytics Consultant, Data Scientist, Operations Analyst, Business Analyst, or Quantitative Analyst positions in companies, institutes or freelancing.
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib.
Moreover, you will get an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. In addition, you will gain skills in data aggregation and summarization, as well as basic data visualization.
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With a social mission to transform and empower lives in order to create a more sustainable world. VCA supports UN SDG 4 – Education, SDG 5 – Gender Equality, SDG 8 – Decent Workforce.
Companies rely on data to help identify challenges, capitalize on opportunities and make timely business decisions that could materially affect their bottom line.
This course is designed to introduce you to the methods behind good data visualization as well as the tools and techniques for creating compelling visual insights.
Over the course of the past decade, the explosion of data has transformed nearly every industry known to man. Whether it’s in marketing, healthcare, government, or activism -- the ability to translate data into insights has quickly become a highly in-demand skill by all.
This course guides you through the fundamentals of data visualization, emphasizing the art of presenting insights in a clear and impactful manner. You will engage in practical activities to master the use of premier visualization tools, craft strategies grounded in data, and leverage informed choic...
Through the program, participants will gain hands-on experience in the entire ML spectrum, including data wrangling, visualization, data exploration, algorithm selection, modeling, training, testing, and implementation.
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