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Python for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp

Online Self-Paced

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Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

Course Description

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python!

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more!

Enroll in the course and become a data scientist today!

  • Some programming experience
  • Admin permissions to download files

This course includes:

25 hours on-demand video

Access on mobile and TV

13 articles

SkillsFuture Credit eligible *

5 downloadable resources

Certificate of completion

Full lifetime access

* More than 7hr of learning time required

Course content

  • Introduction to the Course
  • Course Help and Welcome
  • Course FAQs

  • Python Environment Setup

  • Updates to Notebook Zip
  • Jupyter Notebooks
  • Optional: Virtual Environments

  • Welcome to the Python Crash Course Section!
  • Introduction to Python Crash Course
  • Python Crash Course - Part 1
  • Python Crash Course - Part 2
  • Python Crash Course - Part 3
  • Python Crash Course - Part 4
  • Python Crash Course Exercises - Overview
  • Python Crash Course Exercises – Solutions

  • Welcome to the NumPy Section!
  • Introduction to Numpy
  • Numpy Arrays
  • Quick Note on Array Indexing
  • Numpy Array Indexing
  • Numpy Operations
  • Numpy Exercises Overview
  • Numpy Exercises Solutions

  • Welcome to the Pandas Section!
  • Introduction to Pandas
  • Series
  • DataFrames - Part 1
  • DataFrames - Part 2
  • DataFrames - Part 3
  • Missing Data
  • Groupby
  • Merging Joining and Concatenating
  • Operations
  • Data Input and Output

  • Note on SF Salary Exercise
  • SF Salaries Exercise Overview
  • SF Salaries Solutions
  • Ecommerce Purchases Exercise Overview

  • Welcome to the Data Visualization Section!
  • Introduction to Matplotlib
  • Matplotlib Part 1
  • Matplotlib Part 2
  • Matplotlib Part 3
  • Matplotlib Exercises Overview
  • Matplotlib Exercises – Solutions

Certificate of Completion

When you complete a paid Udemy course, you will receive a certificate of completion, which you can share with your friends, relatives, co-workers and potential employers. Certificates of completion help demonstrate your accomplishments, but please note Udemy is not an accredited institution, and as a result, the certificates cannot be used for formal accreditation.

Please note: free courses and courses that only include practice tests do not offer a certificate of completion.

What you'll learn

Student feedback

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I would suggest everyone to enroll in this course. It's nicely explained in a simple and understandable way. Every concept is taught effectively.

Neel Pathak
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I really liked this course and the methodology of teaching. It is to the point, tells you most of the important things and covers the entire spectrum. Exercises are really good.

Rahul Singhal
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This course is great. Jose explains everything properly and is easily understandable. I have learnt a lot through this course and that will help me for my career in Data Science. Thank You!

Abhilash U Prakash
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Contents are explained at good speed, but extra content can be added. And needs updates in few videos as things have changed a bit in the meantime. The contents that are covered are well explained!!

Shailajarudrappa
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The course will give take you from a complete beginner to an advance level in data science & machine learning. You will also get a quick look into ANN as well. Definitely happy with the content.

Jayesh Patil

Who this course is for:

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