Professional Training
Data Science & Analytics
Transform data into insights with Python, machine learning, and statistical analysis. Learn to solve real-world business problems using data.
Duration
Format
One-on-One
Schedule
2-3x/week
Level
intermediate
What You'll Learn
Analyze complex datasets
Build machine learning models
Create data visualizations and reports
Implement predictive analytics solutions
Communicate insights to stakeholders
Course Curriculum
1
Python for Data Science
6 weeks
Topics covered:
- Python Fundamentals
- NumPy & Pandas
- Data Cleaning
- Data Visualization
- Jupyter Notebooks
- Statistical Analysis
2
Machine Learning
8 weeks
Topics covered:
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering
- Scikit-learn
- Deep Learning Basics
3
Data Engineering
6 weeks
Topics covered:
- SQL for Analytics
- Data Pipelines
- Big Data Tools
- Cloud Platforms
- Data Warehousing
- ETL Processes
4
Business Applications
4 weeks
Topics covered:
- Business Intelligence
- Reporting & Dashboards
- A/B Testing
- Predictive Analytics
- Communication Skills
- Portfolio Projects
Prerequisites
Basic mathematics and statistics
Programming experience preferred
Course Information
Duration:
Format:One-on-One Tutoring
Schedule:2-3 times/week
Level:intermediate
Price:520000
Why Choose This Course?
Certified Tutors
Learn from industry experts with proven track records
Flexible Schedule
Classes scheduled around your availability
Hands-on Projects
Build real projects for your portfolio
Certificate
Receive a certificate upon completion