Are you ready to start your path to becoming a Data Scientist!

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! Here a just a few of the topics we will be learning:

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!

What are the requirements?

Some programming experience
Admin permissions to download files

What am I going to get from this course?

Use Python for Data Science and Machine Learning
Use Spark for Big Data Analysis
Implement Machine Learning Algorithms
Learn to use NumPy for Numerical Data
Learn to use Pandas for Data Analysis
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Use Plotly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
K-Means Clustering
Logistic Regression
Linear Regression
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Neural Networks
Support Vector Machines

What is the target audience?

This course is meant for people with at least some programming experience

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About the Trainer

5 Avg Rating

7 Reviews

9 Students

4 Courses

Suraj Nayak

Data Scientist

7 Years of Experience

7+ years of experience as a professional instructor and trainer for Data Science and programming. He has experience on Data Visualisation tools (Tableau,Qlikview,Power etc.) and Data science Technologies. Over the course of his career he has developed a skill set in analysing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyse data, as well as present the data in clear and beautiful visualisations. Currently he works as Data Scientist at ABinBev. and provides in-person Data science and python programming and Tableau training courses to Students. Feel free to contact him on LinkedIn for more information on in-person training sessions.