Data Science & Analytics

Learn to extract insights from data using Python, ML, and visualization tools

Course Overview

Transform raw data into actionable insights with our comprehensive Data Science program. Master statistical analysis, machine learning, and data visualization techniques.

Technologies You'll Master

Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
TensorFlow
Keras
SQL
Tableau
Power BI
Jupyter

Specialized Courses

Python

Master Python for data analysis, pandas, NumPy, and data manipulation techniques

R Programming

Statistical computing, data visualization, and advanced analytics with R

SQL

Database querying, data extraction, joins, and complex query optimization

Tableau

Interactive dashboards, data visualization, and business intelligence reporting

Power BI

Microsoft BI tools, DAX formulas, data modeling, and report creation

Machine Learning

Supervised and unsupervised learning, model training, and predictive analytics

Statistics

Probability, hypothesis testing, regression analysis, and statistical inference

Excel Analytics

Advanced Excel, pivot tables, macros, VBA, and data analysis tools

Big Data

Hadoop, Spark, distributed computing, and large-scale data processing

Course Duration

5 Months (Weekday & Weekend batches available)

Prerequisites

Basic mathematics and statistics knowledge recommended.