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Data Analytics – Masterclass (6 Months with AWS & Machine Learning)
Become a data analytics expert with strong command over Excel, SQL, Python, Power BI, and cloud analytics using AWS. Gain hands-on experience with Machine Learning basics and real-world business projects.
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Created By: Technosignia
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What you'll learn
- Master Advanced Excel functions, dashboards, and business reporting
- Perform statistical analysis and draw business insights
- Use SQL and Python for data extraction, cleaning, transformation, and visualization
- Build interactive business dashboards using Power BI
- Explore machine learning foundations: regression, classification, clustering
- Work with AWS services for data storage, analytics, and model deployment
- Conduct business case studies from domains like HR, Finance, Sales & Marketing
- Present data-driven solutions with stakeholder-ready reporting
- Complete end-to-end capstone projects using modern tools and techniques
- Prepare for job interviews with hands-on projects and real-time business problems
This course includes:
- 2 Realtime Projects
- Certificate of completion
- Hands on Exercises
Course content
Excel for Business Analytics (3 Weeks)
- Data Cleaning, Lookup Functions, Pivot Tables
- What-if Analysis, Dynamic Dashboards, Charts
- Excel Automation using Macros (Intro)
Statistics for Data Analysis (3 Weeks)
- Descriptive & Inferential Statistics
- Probability, Normal Distribution, Sampling
- Correlation, Regression, Business Interpretation
SQL for Data Extraction (3 Weeks)
- MySQL/PostgreSQL Basics
- Joins, Aggregations, Grouping
- Window Functions, Subqueries
- Hands-on Business Query Cases
Python for Data Analysis (6 Weeks)
- Python Programming Basics (Data Types, Loops, Functions)
- Pandas, NumPy for Data Handling
- Data Cleaning, Missing Values Handling
- Data Visualization using Matplotlib & Seaborn
- Exploratory Data Analysis (EDA)
Power BI for Business Intelligence (4 Weeks)
- Power BI Desktop, Data Transformation (Power Query)
- DAX Measures, Custom Visuals
- Drill-Through Reports, Filters, KPIs
- Publishing and Sharing Dashboards
Machine Learning Foundation (5 Weeks)
- Supervised vs Unsupervised Learning
- Linear & Logistic Regression, Decision Trees
- Clustering (KMeans), Model Evaluation
- Basic Model Deployment Concepts
AWS for Data Analytics (4 Weeks)
- Introduction to Cloud & AWS
- Using S3 for Data Storage
- AWS QuickSight for Visualization
- Amazon SageMaker for ML Model Training
- Deploying Models & Analytics Pipelines
Capstone Projects
- Sales Forecasting using Regression
- HR Attrition Dashboard with Power BI
- Customer Segmentation using Clustering
- Loan Default Prediction using ML
- Cloud Deployment of a BI Dashboard (AWS S3 + QuickSight)
- This Premium course is included in plans
Data Analytics – Masterclass
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- *Only 14 seats are left*
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