Data Science using Python (Module 1/3)

Learn Data science / Machine Learning using Python (Scikit Learn)

Are you completely new to Data science?

Have you been hearing these buzz words like Machine learning, Data Science, Data Scientist, Text analytics, Statistics and don't know what this is?

Do you want to start or switch career to Data Science and analytics?

If yes, then I have a new course for you. In this course, I cover the absolute basics of Data Science and Machine learning. I spend some time walking you through different career areas in the Business Intelligence Stack, where does Data Science fit in, What is Data Science and what are the tools you will need to get started. I will be using Python and Scikit-Learn Package in this course. I am not assuming any prior knowledge in this area. I have given some reading materials, which will help you solidify the concepts that are discussed in this lectures.

This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don't go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.

What will you gain from this course:

1. Thorough understanding of the Business Intelligence stack.

2. Good understanding of Data Science and some Machine Learning algorithms.

3. Using Python (Scikit-Learn) for Data Science algorithms.

4. Build or switch careers in Data Science and Machine Learning.

How Frequently is the course Update:

I will be updating the course every 1-2 weeks.

What are the topics covered:

1. Basics of Machine learning

2. Python and Scikit-Learn installation and usage

3. Supervised and Unsupervised learning

4. The concept of training a machine learning model.

5. Techniques to clean input data and choosing the right machine learning algorithm

6. Pandas, Seaborn and Scikit-learn concepts.

7. Evaluate the best machine learning models for your input data.

8. Next Steps in Machine learning.

What do I need to get started?

The course is free! I use a windows machine in my demo. You can work on a windows or MAC.

Your Instructor

Rakesh Gopalakrishnan
Rakesh Gopalakrishnan

I am a coder, manager, educator and a gamer. I love data and analytics. In my day job, I work with database technologies including SQL , Big Data and Tableau. I am passionate about technologies and love coding and managing teams. In my spare time I like to teach Big Data analytics, Databases, Programming etc. I am currently working on certain machine learning and Data Science projects and love to explore more in the Statistics field.

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!