OptnGrow

Data Analytics Career Program

Get professional-level training from industry experts

Demonstrate your proficiency in portfolio-ready projects

Become a certified Data Analyst

Qualify for in-demand job titles: Data Analyst, BI Analyst, Data Scientist

About Course

This course equips you with in-demand expertise in essential tools like Excel, SQL, Python, and Power BI, enabling you to analyze data effectively and create impactful visualizations. Additionally, you’ll gain expertise in the transformative world of Generative AI with tools like ChatGPT.

Designed to enhance your analytical and problem-solving capabilities, the program also emphasizes critical industry skills to prepare you for real-world challenges. Whether you’re entering the field or upskilling, this program empowers you to stay ahead in the dynamic data-driven landscape.

Material Includes

120 hours on-demand video lectures
Live interaction with trainers
4 Real Life Projects
50+ assignments & Quizzes
Resume Building
Interview Preparation
Certification

INR 48,550

IRN 68,500

34 Weeks

Total Duration

Self-paced + Live

Training Mode

Book a FREE webinar to know more about this program

Program Highlights

Industry Grade Projects

Multiple large scale projects to apply your learnings and be job ready

1-1 Mentoring

Mentorship from seasoned experts with over 10 years of industry experience

AI tools Infused Learning

Learn how to apply AI tools to boost your productivity in all tools

Live Problem Solving

Live connects with trainers to immediately resolve queries

Certification

Get industry wide recognized certificate to boost your profile

Interview Preparation

Assistance on resume / profile building and mock interviews

Program Modules

Module 1: Data Anaytics Fundamentals

Introduction to Excel and Formulas
Format, Sort, Filter, Organize and Visualize Data
Summarize data with Pivot Tables and Charts
Using Google spreadsheets

Module 2: Databases and SQL

Introduction to Relational Databases & Setup
Data Cleaning using SQL
Filtering & Subqueries
Joins
GROUP BY & Aggregation
Window Functions
Date and Time Functions
Common Table Expressions
Indexes & Partitioning

Module 3: Data Visualization with Power BI

Connecting to Databases and other data sources
Data Cleaning and Transformation with Power Query Editor
Data Modeling in Power BI
Creating columns and Measures using DAX
Data Visualization with KPI charts, Line Chart, Bar Chart, Matrix, Scatter Plot etc
Using AI Visuals
Power BI Service for report sharing
Row Level Security
Dashboards, Scorecards and Metrics

Module 4: Data Analysis Fundamentals

Statistics Foundation
Fundamentals of Python:
- Flowcharts, Data Types, Operations
- Conditional Statements & Loops
- Strings
- Data Structures – List, Tuples, Dictionary, Set, Matrix Algebra, Number Systems
Introduction to Pandas, Numpy, Matplotlib, Seaborn
Data Manipulation
Data Visualization

Module 5: Machine Leaning

Linear Regression, Logistic Regression, Polynomial Regressions
Decision Tree, Random Forest
Dimensionality Reduction – Principle Component Analysis, Factor Analysis, LDA
Naive Bayes Classifier
Support Vector Machine
Optimization
Unsupervised Learning – Clustering
Time Series Analysis
Model Selection and Bias
Recommendation Engine Design

Module 6: AI and Deep Learning

Introduction to Text Mining and NLP
Text Classification
Introduction to Deep Learning
Tensor Flow
Convolutional Neural Networks (CNN)
Regional Neural Networks (RNN)
Generative Adversarial Networks (GAN)
LSTM

Module 7: Profile building and Job Readiness

Pair up with the Career Specialist
Building winning resume
Optimizing Linkedin and other online profiles
Sharing job requirements of companies
Assistance on job applications
Interview preparation with mock interviews
Guidance on salary negotiation

Skills Covered

Have a query? Reach out to our career advisors!

Job Opportunities

A Data Analyst collects, processes, and analyzes data to uncover trends, patterns, and insights that inform business decisions. They use tools like Excel, SQL, and data visualization software to generate reports and support strategic planning. Data Analysts focus on interpreting data to help organizations optimize processes and improve performance.

Average Salaries: 4L – 16L per annum

Job Opportunities: According to the U.S. Bureau of Labor Statistics, employment of operations research analysts (which includes data analysts) is projected to grow 23% from 2021 to 2031, much faster than the average for all occupations. This indicates strong and continued demand for data analysts in the job market.

A data scientist uses a combination of statistical analysis, machine learning, and programming to clean, process, and model data. By identifying patterns and trends, data scientists help organizations optimize operations, improve products, and forecast future outcomes. They typically work with large datasets, applying algorithms and building predictive models to solve problems across various industries.

Average Salaries: 5L – 18L per annum

A Business Intelligence (BI) Analyst gathers, analyzes, and visualizes data to support business decision-making. They transform raw data into actionable insights using tools like Excel, SQL and Power BI. BI Analysts focus on identifying trends, monitoring performance, and providing reports to help businesses optimize strategies and improve outcomes.

Average Salaries: 4L – 14L per annum

What Student’s Say

Our core values are at the heart of all that we do.

Frequently Asked Questions

What is the eligibility / background required for this program?

Anyone (working or non-working professional) with the basic knowledge of IT and data are eligible for this program.

What are the job opportunities after completing this program?

Data Analytics Career Program helps you in upskilling in data analytics industry and also a career transition program for non-data analytics professional.

Our program is designed to equip you with the right skill-set required for the job roles like Data Analyst, Business Intelligence Analyst and Data Scientist.

What is the program curriculum?

Request Callback

[email protected]

+91-90000-80000