Data Science
Master Data Science. Get Hired.
Bridge the gap between theory and industry reality. This comprehensive program equips you with the exact tools top employers look for: Python, SQL, Power BI, and Machine Learning.
Through practical, project-based learning, you will master data cleaning, predictive modeling, and executive-level reporting. Perfect for beginners and transitioning professionals looking to secure high-growth roles in Data Analytics and Data Science.
What you will learn in this course?
- Python Programming from Basics to Advanced
- Data Structures, Variables & File Handling
- NumPy for Data Analysis & Computation
- Data Manipulation using Pandas
- Data Visualization with Matplotlib & Seaborn
- Supervised & Unsupervised Machine Learning
- Linear & Logistic Regression Models
- Data Preprocessing & Feature Engineering
- Decision Trees, Random Forest & Boosting
- Fundamentals of Neural Networks
- SQL Database Management & Queries
- Advanced Excel for Data Analysis
- Power BI Dashboard Creation & Data Reporting
- Real-World Projects & Practical Implementation
Benefits of Joining This Course
- Industry-Oriented Curriculum
- Hands-on Practical Learning
- Live Projects & Case Studies
- Beginner-Friendly Training
- Job-Oriented Skill Development
- Expert Mentorship & Guidance
- Resume Building Support
- Interview Preparation Assistance
- Learn Latest Industry Tools & Technologies
- Certification After Completion
Course Certificate
What You’ll Achieve
After completing this course, you will be able to:
- Write Python programs for data analysis and automation
- Clean, process, and analyze large datasets
- Create professional data visualizations and reports
- Build Machine Learning models for prediction and classification
- Perform data preprocessing and feature engineering
- Work confidently with SQL databases
- Create dynamic dashboards using Power BI
- Analyze business data to derive meaningful insights
- Complete real-world Data Science projects
- Become job-ready for Data Analyst / Data Science roles
Tools and Technologies You'll Learn:
Curriculum
- 17 Sections
- 71 Lessons
- 12 Weeks
Expand all sectionsCollapse all sections
- Module 1: Python Fundamentals6
- Module 2: Python File Handling & Data Structures6
- Module 3: Loops & Conditional Statements3
- Module 4: Data Analysis with NumPy3
- Module 5: Data Analysis with Pandas3
- Module 6: Data Visualization5
- Module 7: Statistical Thinking in Python4
- Module 8: Machine Learning Fundamentals6
- Module 9: Logistic Regression3
- Module 10: Linear Regression2
- Module 11: Data Preprocessing for Machine Learning7
- Module 12: Tree-Based Models5
- Module 13: Fundamentals of Neural Networks2
- Module 14: Real-World Project4
- Module 15: Advanced Excel4
- Module 16: SQL3
- Module 17: Power BI5
To enroll in a course, you need to create an account on our platform, browse our course catalog, and click on the "Enroll" button next to the course you want to join. Follow the on-screen instructions to complete the registration process.
Yes, most of our courses offer a certificate of completion, provided you meet all the course requirements, such as passing quizzes and submitting assignments.
Courses often include quizzes, assignments, and sometimes final exams to assess your understanding of the material. The specific assessment methods will be detailed in the course syllabus.
Courses can be paid for using a credit/debit card, PayPal, or other payment methods specified at checkout. Payment is required at the time of enrollment.