A deep dive into the fundamentals of data science and machine learning with Python. You will gain comprehensive understanding and experience of the entire data science process from end-to-end, including data preparation, analysis and visualization, as well as how to properly apply machine learning algorithms to various situations or tasks. You’ll also work on a portfolio of projects that showcase your data science experience to potential employers.
Partner Job Openings
Highest Package
Placement Rate
250+ Hours of Live classes encouraging interactive information flow
Fortnightly master class by industry experts
Hands on Training with Real World Data Sets
25+ One-to-One Sessions for Mentorship and Mock Interviews
Workshops for building your resume, LinkedIn & GitHub
750+ Practice Problems with Real Corporate Problems & Life Examples
Instant Doubt Support & Resolution
NumPy in Anaconda and Google Collab (Logos for these 2 NumPy in Anaconda and Google Collab; Text only Analyse GDP of Countries)
NumPy in Anaconda and Google Collab
Machine Learning Scikit Learn in Anaconda and Google Collab
matplotlib in Anaconda and Google Collab
Python integration with Hadoop MapReduce and Spark in Anaconda and Google Collab
different Python libraries, features selection & machine learning classification models in Anaconda and Google Collab
different Python libraries, Exploratory Data Analysis (EDA) & machine learning regression models in Anaconda and Google Collab
Python libraries, Exploratory Data Analysis (EDA), recommendation models & machine learning models in Anaconda and Google Collab
MS Excel
Power BI
Power BI