Course provided by Udemy

Study type: Online

Starts: Anytime

Price: See latest price on Udemy


Learn everything you need to become a data scientist.

Machine learning is quickly becoming a required skill for every software developer.

Enroll now to learn everything you need to know to get up to speed, whether you’re a developer or aspiring data scientist. This is the course for you.

Your complete Python course for image recognition, data analysis, data visualization and more.

Reviews On Our Python Courses:

  • I know enough Python to be dangerous. Most of the ML classes are so abstract and theoretical that no learning happens. This is the first class where we use concrete examples that I can relate to and allow me to learn. Absolutely love this course!” – Mary T.

  • “Yes, this is an amazing start. For someone new in python this is a very simple boot course. I am able to relate to my earlier programming experience with ease!” – Gajendran C.

  • “Clear and concise information” – Paul B.

  • “Easy to understand and very clear explanations. So far so good!!!” – Alejandro M.

This is a once in a lifetime chance to enroll in a massive course.

Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute beginners and can also be used a review.

Jump into using the most popular libraries and frameworks for working with Python. You’ll learn everything you need to become a data scientist. This includes:

0. Python Crash Course for Beginners

Learn Python with project based examples. Get up and running even if you have no programming experience. Superboost your career by masterig the core Python fundamentals.

1. Data Science with NumPy

Build projects with NumPy, the #1 Python library for data science providing arrays and matrices.

2. Data Analysis with Pandas

Build projects with pandas, a software library written for the Python programming language for data manipulation and analysis.

2. Data Visualization with PyPlot

Build projects with pyplot, a MATLAB-like plotting framework enabling you to create a figure, create a plotting area in a figure, plot lines in a plotting area, decorate the plot with labels and much more. Learn it all in this massive course.

3. Machine Learning Theory

Machine learning is in high demand and is quickly becoming a requirement on every software engineer’s resume. Learn how to solve problems with machine learning before diving into practical examples.

4. Introduction to TensorFlow

Build projects with TensorFlow, the most popular platform enabling ML developers to build and deploy machine learning applications such as neural networks. Build your first linear regression model with TensorFlow. Learn how to build a dataset, model, train and test!

5. Build a Sentiment Analysis Model to Classify Reviews as Positive or Negative

All source code is included for each project.

If you buy one course this year, this is it. Sign up while spots are open.

Expected Outcomes

  1. Process text data
  2. Interpret sentiment in reviews
  3. Build a model to predict whether a review is positive or negative
  4. Implement logic
  5. Track data
  6. Customize graphs
  7. Implement responsiveness
  8. Build data structures
  9. Graph data with PyPlot
  10. Build 3D graphs with PyPlot
  11. Use common array functions
  12. Replace Python lists with NumPy arrays
  13. Build and use NumPy arrays
  14. Use Pandas series
  15. Use Pandas Date Ranges
  16. Read CSVs with Pandas
  17. Use Pandas DataFrames
  18. Get elements from a Series
  19. Get properties from a series
  20. Series operations
  21. Modify series
  22. Series comparisons and iteration
  23. Series operations
  24. And much more!