Data Science & Analytics Course with Power BI

Start your career in Data Science & Analytics with DigiDARA's 3-Month Beginner-Friendly Training Program. Designed for college students and professionals (both CS & non-CS), this course covers Python, SQL, Excel, Power BI, TensorFlow/Keras, MongoDB, and Cassandra.

With hands-on projects, portfolio-ready dashboards, and a capstone presentation, you'll graduate job-ready for roles like Data Analyst, Junior Data Scientist, BI Analyst, and AI Intern.

📅 Schedule: 5 Days a Week ⏰ 2–3 Hours per Day 🎓 Certification Included

Why Choose Our Data Science Course?

Hands-on Learning

Build real-world projects with Python, SQL, and Power BI

Industry Certification

Get certified and build a portfolio-ready resume

Beginner Friendly

No prior coding experience required - start from basics

Career Support

Job-ready skills for Data Analyst and Data Scientist roles

Course Curriculum (Weekly Breakdown)

1

Week 1: Introduction to Data Science & Excel Basics

Learn what Data Science is, its applications, and roles. Master Excel basics, descriptive statistics, and build your first KPI dashboard.

2

Week 2: Python Programming Fundamentals

Start coding with Python—variables, loops, functions, data structures, and file handling. Create your own grading system & file I/O projects.

3

Week 3: Data Wrangling with Pandas & NumPy

Clean, transform, and analyze datasets. Perform feature engineering and handle dates. Work on student performance analysis projects.

4

Week 4: Exploratory Data Analysis (EDA) & Visualization

Build insights using Power BI and Python. Create interactive dashboards with Matplotlib, Seaborn, and Power BI visuals.

5

Week 5: SQL for Data Extraction + Power BI Modeling

Master relational databases and queries. Connect SQL with Power BI to create a Customer Order Dashboard.

6

Week 6: Advanced SQL + DAX for Analytics

Learn window functions, subqueries, indexing, and DAX measures. Build performance dashboards with KPIs.

7

Week 7: Statistics & Hypothesis Testing

Understand probability, hypothesis testing, correlation, and perform statistical analysis with Python & Power BI.

8

Week 8: Machine Learning – Regression & Evaluation

Implement Linear & Logistic Regression. Learn model evaluation using confusion matrix, accuracy, precision, and ROC curves.

9

Week 9: Advanced ML + Intro to Deep Learning

Explore Decision Trees, Random Forest, K-Means clustering, and build your first Artificial Neural Network (ANN) with TensorFlow/Keras.

10

Week 10: Deep Learning for Computer Vision (CNNs)

Train Convolutional Neural Networks to classify images and integrate results into Power BI dashboards.

11

Week 11: NLP + Transformers (BERT/GPT) + Capstone Start

Learn NLP with tokenization, TF-IDF, RNNs, LSTMs, and Transformers. Use BERT & ChatGPT for sentiment analysis and automation.

12

Week 12: Big Data Concepts + Capstone Presentation

Work with MongoDB & Cassandra. Complete a capstone project with full data pipeline, visualization, and presentation.

Career Outcomes & Certification

Upon completion, you'll receive:

  • 1. Course Completion Certificate
  • 2. Portfolio-Ready Power BI Dashboards
  • 3. Resume-Friendly ML & EDA Projects with GitHub Links
  • 4. Aligned to entry-level roles:
    • I. Data Analyst
    • II. Junior Data Scientist
    • III.BI Analyst
    • IV. AI Intern/Assistant

Capstone Project

Choose a domain like Retail, Healthcare, HR, Finance, or Education and deliver a full project:

  • 1. Data Acquisition (CSV/SQL/API)
  • 2. Cleaning & Transformation (Python/Power Query)
  • 3. Analysis & Modeling (Python/ML)
  • 4. Visualization & Storytelling (Power BI)

🎓 Showcase your final dashboard and project pitch to build a resume-ready portfolio.

Ready to Start Your Data Science Journey?

Join thousands of students who have transformed their careers with our comprehensive training program.

Course Investment

Contact us for current pricing and payment plans

Register Now

Frequently Asked Questions

Who can join this course?

This course is designed for beginners—no prior coding or statistics knowledge is required. Perfect for college students, recent graduates, and professionals looking to transition into data science.

What tools will I learn?

Python, SQL, Excel, Power BI, TensorFlow/Keras, MongoDB, Cassandra, Matplotlib, Seaborn, Hugging Face (BERT/GPT), and various data science libraries.

Do I need any software or hardware requirements?

A computer with at least 8GB RAM and stable internet connection. We'll guide you through installing all necessary software including Python, Power BI Desktop, and development tools.

What kind of job support do you provide?

We provide resume building guidance, portfolio development, interview preparation, and career counseling. Our alumni work at top companies as Data Analysts, BI Analysts, and Junior Data Scientists.

Is the certification recognized by employers?

Yes! Our certification is industry-recognized and comes with verifiable project portfolios that demonstrate practical skills to potential employers.

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