Data Scientist with Python Internship/Training is a self paced 4 week Industrial Training program with mentorship support.
Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience required.
In this Internship/Training, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You’ll then work with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP). Start this track, grow your Python skills, and begin your journey to becoming a confident data scientist.
⇩ What we cover in 4 weeks.
Week 1 – 3
Introduction to Python
Data Manipulation with PANDAS
Joining Data with PANDAS
Introduction to Data Visualization with Matplotlib
Introduction to Data Visualization with Seaborn
Python Data Science Toolbox
Intermediate Data Visualization with Seaborn
Introduction to Importing Data in Python
Intermediate Importing Data in Python
Cleaning Data in Python
Working with Dates and Times in Python
Writing Functions in Python
Exploratory Data Analysis in Python
Statistical Thinking in Python
Supervised Learning with scikit-learn
Unsupervised Learning in Python
Machine Learning with Tree-Based Models in Python
Cluster Analysis in Python
3 Training Projects and one Capstone Project
Certificate of Completion
Letter of Recommendation
Complete this course while you work
Rigorous curriculum designed by industry experts
Best performers will also be offered a job within the company.