Data Analytics Professional Program

Go From Data Overload to Actionable Insight

Master Python, SQL, and Tableau to analyze complex data, build predictive models, and drive business growth. Become the data expert companies are searching for.

Duration: 6 Months
Skill Level: Beginner
Format: Online, Live

Core Competencies

What You Will Master

Master Data Wrangling

Use Python and SQL to clean, transform, and query complex datasets with confidence.

Tell Compelling Stories

Create stunning, interactive dashboards in Tableau and Power BI to present insights effectively.

Uncover Hidden Patterns

Apply statistical analysis and hypothesis testing to validate findings and inform strategy.

Predict the Future

Build and evaluate machine learning models for classification and regression tasks.

Tools of the Trade

Technology You'll Use

Python

Python

SQL

SQL

Tableau

Tableau

Power BI

Power BI

Scikit-learn

Scikit-learn

Pandas

Pandas

Course Structure

Week-by-Week Curriculum

Master advanced Excel functions, pivot tables, and statistical concepts that form the bedrock of data analysis.

Learn to write complex SQL queries to extract, join, and aggregate data from relational databases like a pro.

Dive into Python with Pandas and NumPy to perform powerful data cleaning, manipulation, and exploratory data analysis (EDA).

Build interactive and insightful dashboards that effectively communicate your findings to any audience.

Understand the fundamentals of machine learning and build predictive models for classification and regression using Scikit-learn.

Apply all your skills to a real-world, end-to-end data analytics project, and prepare for interviews with resume workshops and mock sessions.

Build Your Portfolio

Hands-On Portfolio Projects

E-commerce
E-commerce Sales Dashboard

Analyze a sales dataset to identify top-performing products and regions, then build an interactive Tableau dashboard for stakeholders.

Customer Churn
Customer Churn Prediction

Use Python and machine learning to build a model that predicts which customers are likely to churn, helping a business take proactive measures.

Marketing Campaign
Marketing Campaign Analysis

Perform A/B testing analysis using SQL and statistical methods to determine the effectiveness of a digital marketing campaign.

Your Future Career

Career Outcomes

Data Analyst Business Intelligence Analyst Marketing Analyst Financial Analyst Junior Data Scientist

Become a Data-Driven Decision Maker

Enroll now and gain the most in-demand skill of the 21st century. Your new career in data starts here.