Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions
Become career-ready faster
INDUSTRY SIZE & DEMAND
Data Science Industry is expected to growth 28% Y-O-Y and be worth $187 bn by 2020.
Develop skills for a role of Data Analyst, Business Analyst, Analytics Consultant
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Best in-class content by industry leaders in the form of bite-size videos and quizzes.
Introduction to Data Analysis
Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
Data Visualization with Python
Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.
Size: 9.76 GB
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