We at bharat Analytics have dedicated mentorship program for data analytics for all job aspiring computer graduate. Our mentors have excellent work experience and hands on experience on multiple data analytics projects.
Here’s a comprehensive course content outline for a Data Analytics program tailored for computer graduate students, aiming for jobs in data analysis. Additionally, I’ve included a competitive fee structure to attract students.
Data Analytics Course Content
Module 1: Introduction to Data Analytics
- Overview of Data Analytics
- Importance and Applications of Data Analytics
- Data Analytics Lifecycle
- Types of Data: Structured vs. Unstructured
Module 2: Data Collection and Cleaning
- Data Sources: Databases, APIs, Web Scraping
- Data Cleaning Techniques
- Handling Missing Data
- Data Transformation and Preparation
Module 3: Statistical Analysis
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Hypothesis Testing
Module 4: Data Visualization
- Principles of Effective Data Visualization
- Tools: Matplotlib, Seaborn, Tableau, Power BI
- Creating Charts, Graphs, and Dashboards
- Data Storytelling
Module 5: SQL for Data Analysis
- Introduction to Databases and SQL
- Writing SQL Queries
- Aggregation and Joins
- Subqueries and Nested Queries
Module 6: Programming for Data Analysis
- Introduction to Python/R
- Libraries: Pandas, NumPy, Scikit-learn for Python
- Data Manipulation and Analysis using Python/R
- Introduction to Jupyter Notebooks/RStudio
Module 7: Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised vs. Unsupervised Learning
- Regression and Classification Algorithms
- Model Evaluation and Validation
Module 8: Advanced Data Analytics Techniques
- Time Series Analysis
- Text Analytics and Natural Language Processing (NLP)
- Clustering Techniques
- Anomaly Detection
Module 9: Big Data Technologies
- Introduction to Big Data and Hadoop
- Spark for Data Analytics
- Data Warehousing and ETL Processes
- Working with NoSQL Databases
Module 10: Practical Applications and Capstone Project
- Case Studies in Various Domains (Finance, Healthcare, Marketing, etc.)
- Real-world Data Analysis Projects
- Capstone Project: End-to-End Data Analysis
Module 11: Soft Skills and Career Preparation
- Communication Skills for Data Analysts
- Resume Writing and Interview Preparation
- Building a Data Analytics Portfolio
- Networking and Professional Development
Fee Structure
Basic Plan
- Duration: 3 months
- Access: Offline lectures with software professionals
- Support: 24*7 support
- Fee: ₹25,000
Standard Plan
- Duration: 6 months
- Access: Online video lectures, live weekly sessions, forums
- Support: Email and chat support
- Additional: Access to exclusive workshops and live projects
- Fee: ₹45,000
Premium Plan
- Duration: 6 months
- Access: Online video lectures, live weekly sessions, forums, one-on-one mentorship
- Support: Priority email and chat support
- Additional: Access to exclusive workshops, capstone projects, mock interviews, personality development session and job placement assistance
- Fee: ₹60,000
Promotional Offers
- Early Bird Discount: 20% off for the first 50 enrollments
- Referral Program: ₹2,000 discount for each referred student who enrolls
- Scholarships: Partial scholarships available for deserving candidates based on merit and need
Course Delivery
- Mode: Live one-one session with mentor (Weekends)
- Resources: Access to learning management system (LMS), downloadable materials, and coding environments
- Certifications: Certificate of Completion, Capstone Project Certification, and access to an alumni network
Conclusion
Publishing this detailed course content along with a competitive fee structure on your blog can attract students who are keen to pursue a career in data analytics. Ensure to highlight the benefits of each plan, the quality of the curriculum, and the potential career outcomes to make the course offering more appealing.