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Data Analytics
Data Analytics with Machine Learning Certification
Boost up Program for Mastermind & Growth Hack
On Campus
Course Duration- 180 Hourse
Placementship Plus
Course Objectives:
Understand key data analytics terms & frameworks.
Use Power Query for data cleaning & transformation.
Build data models with relationships & hierarchies.
Learn Power BI security like row-level security & sharing.
#1 Data Analytics with Machine Learning
Data Analytics with Machine Learning Technology
Module 1: Excel for Data Analytics
- Introduction to Excel for Analytics
- Data Management Techniques
- Data Analysis Functions
- Data Visualization
- Data Analysis Toolpak
- Conclusive Result
Module 2: Python for Data Analytics
- Introduction to Python
- Data Manipulation with Pandas
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Introduction to Machine Learning
- Conclusive Result
Module 3: SQL for Data Analytics
- Introduction to SQL
- Basic SQL Queries
- Data Aggregation
- Data Manipulation
- Database Management
- Conclusive Result
Module 4: Tableau for Data Visualization
- Introduction to Tableau
- Creating Visualizations
- Dashboard Design
- Advanced Visualization Techniques
- Sharing and Publishing
- Conclusive Result
Module 5: Power BI for Business Intelligence
- Introduction to Power BI
- Data Transformation with Power Query
- Creating Reports and Dashboards
- Publishing and Sharing Reports
- Data Governance and Security
- Conclusive Result
Module 6: Introduction to Machine Learning
- Overview of Machine Learning
- Data Preparation
- Model Training and Evaluation
- Common Algorithms
- Conclusive Result
Module 7: Ethical Considerations in Data Analytics
- Understanding Data Ethics
- Data Privacy and Security
- Bias and Fairness in Data
- Data Governance
- Conclusive Result
Course Conclusion
- Connecting Front-End (HTML, CSS, JS) with Spring Boot
- A comprehensive project that requires the application of skills and tools learned throughout the course.
- 2 Final Assessment
- A comprehensive exam covering all tools and modules.
Module 8: Statistical Foundations for Data Science
- Introduction to Statistics
- Hypothesis Testing
- Statistical Modeling
- Conclusive Result
Module 9: Advanced Machine Learning
- Ensemble Methods
- Deep Learning Introduction
- Natural Language Processing (NLP)
- Conclusive Result
Industry-Based Interview Questions and Problem Solving
- Common Questions: Technical (SQL, machine learning, stats) and behavioral questions (teamwork, problem-solving).
- Case Studies: Real-world problems (e.g., churn prediction, recommendation systems).
- Practice: Coding challenges on LeetCode, HackerRank, Kaggle.
- Industry-Specific: Tailored questions for sectors like finance, healthcare, retail.
Resume Building, Portfolio Development, and Mock Interviews
- Resume Building: Tips on structuring resumes for data science roles, highlighting key skills and experience.
- Portfolio: Create GitHub projects showcasing end-to-end work and technical skills and LinkedIn profile.
- Mock Interviews: Practice coding, behavioral questions, and project walkthroughs.
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End-to-End Career Assistance
Comprehensive Career Support to Help You Shine
Resume Build
Upgrade and polish resumes to make them stand out to potential employers.
Industry Relevant Training
Learn From digital marketing industry experts with real-world experience.
Project Presentation
Develop presentation skills and refine projects with constructive feedback from peers and instructors.
Career Guidance
Dedicated Assistance to help figure out the right step for your career.
Personalize Emphasis
We ensure each student receives focused as we teach them key concepts
Mock Interview Drill
Comprehensive Guidance to master interview skills & land your dream job.
Be in the spotlight by getting certified!
Industry-Recognized Certificate
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Stand Out in Job Market
Hammer out we need to socialize the comms with the wider stakeholder community exposing new ways to evolve
Your Passport to Career Growth
Focus on the customer journey we need to socialize the comms with the wider stakeholder community upsell window-licker
Offline
Online
Recorded
Total Program Fee:
₹30,500 ₹25,500
- Live instruction from Industry Veterans
- Vibrant community just like a College Campus
- Hands-on curriculum with Real-Life Projects
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Data Analytics And Machine Learning
After working in coffee shops around the world Mark finds himself.
Data Analytics And Machine Learning
After working in coffee shops around the world Mark finds himself.
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