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Getting Started with Data Science

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What is Data Science?

Data Science vs. Data Analysis vs. Data Engineering

Descriptive and Predictive Analytics

Data Science Life Cycle

Structured vs. Semi-Structured vs. Unstructured Data

Applications of Data Science

Applications in Healthcare and Recommender Systems Image Analysis

Overview of Libraries

Beautiful Soup (Scraping Data from Simple HTML)Beautiful Soup (Scraping Data from Html Table)Scrapy Numpy Basics Numpy Array Creation Numpy Array Manipulation Sorting Numpy Arrays Basic Statistics on Numpy Arrays Broadcasting in Numpy Arrays Pandas Spacy Part 1 Spacy Part 2 Seaborn

Data Manipulation with NumPy

Introduction NumPy Arrays NumPy Basics Math Random Indexing Filtering Statistics Aggregation Saving Data Quiz

Data Analysis with pandas

Introduction Series DataFrame Combining Indexing File I/O Grouping Features Filtering Sorting Metrics Plotting To NumPy Quiz

Probability and Statistics

Probability Statistics Joint Probability Conditional Probability and Bayes Theorem Measures of Locations Measures of Variability Probability Distributions (Binomial and Bernoulli Distributions)Gaussian Distribution Poisson Distribution Skewness and Kurtosis Sampling Methods Key Concepts in Statistics Statistical Hypothesis Testing

Conclusion

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Descriptive and Predictive Analytics

Descriptive and Predictive Analytics

In this lesson, you'll learn more about the details of Descriptive and Predictive Analytics with the help of examples.

Descriptive vs. Predictive Analytics

Descriptive Analytics deals with looking at past data and describing the events and instances which happened. If we e ...

Predictive Analytics is about predicting and forecasting what can happen in the future based on past and the present ...