Python for Data Science & Machine Learning from A-Z

Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant Learn data cleaning, processing, wrangling and manipulation How to create resume and land your first job as a Data Scientist How to use Python for Data Science How to write complex Python programs for practical industry scenarios Learn Plotting in Python (graphs, charts, plots, histograms etc) Learn to use NumPy for Numerical Data Machine Learning and it's various practical applications Supervised vs Unsupervised Machine Learning Learn Regression, Classification, Clustering and Sci-kit learn Machine Learning Concepts and Algorithms Use Python to clean, analyze, and visualize data Building Custom Data Solutions Statistics for Data Science Probability and Hypothesis Testing In this practical, hands-on course you'll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job. We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib NumPy -- A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library. Pandas -- A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.