Python Data Analysis
Learn all the Fundamental concepts required for Exploratory Data Analysis using Python Programming Language.Get a Structured Path to Learn the Most Interesting Skills required to become a Professional Data Analyst in any Vertical. Get Access to 100+ Exercises and Quizzes to Practice your Skills.
✔ Learn about Date and Times and Regular Expressions.
✔ Learn Numpy for Complex Mathematical Operations.
✔ Learn Pandas in depth for Data Frame Manipulation.
✔ Perform Grouping Operations and Filtering Operations.
✔ Perform Interactive Query Analysis using Ipy Widgets.
✔ Learn Cross Tabulation using Cross Tabs.
✔ Learn to analyze the Target Data using the Dabl library.
✔ Learn Pandas Profiling for analyzing the whole data at once.
✔ Learn about the Sweet Viz for Comparing Datasets.
✔ Learn Bayes Theorem, Basic and Conditional Probabilities.
✔ Learn Normal Distributions, Skewness, and QQ Plots.
✔ Learn Central Limit theorem, and Confidence Intervals.
✔ Learn the Types of Error in Hypothesis Testing.
✔ Learn to implement t-Test, z-Test and their types.
✔ Learn ANOVA, Chi squared Goodness Tests, and Chi square Test of Independence.