Data Science & Business Analytics
Complete Data Analysis Masterclass
From Spreadsheet Basics to Advanced Analytics in 6 Months
Ready to Master Complete Data Analysis Masterclass - From Excel to Machine Learning?
Choose your plan and start your journey into the future of technology today.
Program Overview
This intensive 6-month program transforms complete beginners into professional data analysts capable of extracting insights from complex datasets, creating compelling visualizations, and driving data-driven decisions in any organization.
You'll master the complete analytics toolkit: Excel for quick analysis, SQL for database querying, Python for advanced analytics, statistics for rigorous analysis, and modern BI tools for interactive dashboards. Learn to clean messy data, perform exploratory analysis, build predictive models, and present findings that influence business strategy.
What Makes This Program Different
- Start from absolute basics - no prerequisites
- Real business datasets and case studies
- Industry-standard tools and techniques
- Portfolio of 25+ analysis projects
- Business communication and storytelling focus
- Interview preparation and placement support
- Covers both technical and business aspects
- Hands-on with Fortune 500 company data
Your Learning Journey
Phase 1
Foundation (Months 1-2): Excel Mastery, Statistics Basics, Data Fundamentals
Phase 2
Technical Skills (Months 3-4): SQL, Python, Data Cleaning, Analysis Techniques
Phase 3
Advanced Analytics (Months 5-6): Visualization, BI Tools, ML Basics, Business Intelligence
Career Progression
1
Junior Data Analyst (after 2 months)
2
Business Analyst (after 4 months)
3
Data Analyst (after 5 months)
4
Senior Data Analyst ready (after 6 months)
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
📚 Topics Covered
- What is data analysis? Role in modern business
- Types of data: structured, unstructured, semi-structured
- Data analysis lifecycle and methodology
- Quantitative vs qualitative analysis
- Descriptive, diagnostic, predictive, prescriptive analytics
- Industry applications and case studies
- Tools ecosystem overview
- Career paths in data analysis
- Setting up your analysis environment
- Introduction to datasets and data sources
🚀 Projects
- Personal data audit project
- Industry analysis report
- Data source catalog creation
💪 Practice
Analyze 10 real-world data scenarios
📚 Topics Covered
- Excel interface mastery and shortcuts
- Data types and formatting
- Cell references: absolute, relative, mixed
- Essential formulas: SUM, AVERAGE, COUNT, MIN, MAX
- Logical functions: IF, AND, OR, NOT
- Nested IF statements and IFS function
- Text functions: CONCATENATE, LEFT, RIGHT, MID, TRIM
- Date and time functions
- Mathematical functions: ROUND, ABS, MOD
- Error handling: IFERROR, IFNA
🚀 Projects
- Sales calculator dashboard
- Employee timesheet system
- Grade calculation spreadsheet
💪 Practice
Complete 50 Excel formula challenges
📚 Topics Covered
- Data validation and drop-down lists
- Sorting and multi-level sorting
- Filtering and advanced filters
- Remove duplicates and data cleaning
- Text to columns and data parsing
- Flash Fill for pattern recognition
- Data consolidation techniques
- Grouping and outlining
- Subtotals and summaries
- Working with large datasets
🚀 Projects
- Customer database cleanup
- Inventory management system
- Survey data processor
💪 Practice
Clean and organize 20 messy datasets
📚 Topics Covered
- LOOKUP functions: VLOOKUP, HLOOKUP, XLOOKUP
- INDEX and MATCH combinations
- SUMIF, COUNTIF, AVERAGEIF functions
- SUMIFS for multiple criteria
- Array formulas and dynamic arrays
- FILTER, SORT, UNIQUE functions
- Statistical functions in Excel
- Financial functions: NPV, IRR, PMT
- Database functions: DSUM, DCOUNT
- INDIRECT and OFFSET for dynamic references
🚀 Projects
- Dynamic sales report system
- Financial analysis model
- HR analytics dashboard
💪 Practice
Build 25 complex Excel solutions
📚 Topics Covered
- Types of data: nominal, ordinal, interval, ratio
- Population vs sample
- Measures of central tendency: mean, median, mode
- Measures of spread: range, variance, standard deviation
- Quartiles and interquartile range
- Skewness and kurtosis
- Normal distribution and z-scores
- Central limit theorem basics
- Confidence intervals introduction
- Hypothesis testing concepts
🚀 Projects
- Statistical analysis report
- A/B testing simulator
- Quality control dashboard
💪 Practice
Perform 30 statistical analyses
📚 Topics Covered
- PivotTables creation and customization
- PivotTable calculations and summaries
- Slicers and timeline filters
- PivotCharts and interactive dashboards
- Power Pivot introduction
- Data Model and relationships
- DAX formulas basics
- What-if analysis: Goal Seek, Scenario Manager
- Data tables for sensitivity analysis
- Solver for optimization problems
🚀 Projects
- Sales performance dashboard
- Budget optimization model
- Multi-dimensional analysis cube
💪 Practice
Create 20 PivotTable reports
📚 Topics Covered
- Chart types and when to use them
- Column, bar, and line charts
- Pie charts and donut charts
- Scatter plots and bubble charts
- Combination charts
- Sparklines for inline visualization
- Conditional formatting techniques
- Data bars, color scales, icon sets
- Heat maps and treemaps
- Waterfall and funnel charts
🚀 Projects
- Executive dashboard
- KPI scorecard
- Interactive sales report
💪 Practice
Design 30 data visualizations
📚 Topics Covered
- Report design principles
- Executive summary creation
- Data storytelling techniques
- Dashboard layout best practices
- Dynamic reports with parameters
- Automated reporting with macros
- VBA basics for automation
- Report distribution and sharing
- Excel to PowerPoint automation
- Version control and collaboration
🚀 Projects
- Monthly business report template
- Automated dashboard system
- C-suite presentation deck
💪 Practice
Create 10 professional reports
📚 Topics Covered
- Excel mastery review
- Statistics concepts check
- Visualization best practices
- Business case presentation
- Technical skills assessment
🚀 Projects
- CAPSTONE: Complete Business Analysis
- Analyze real company data, create insights, build dashboard, present findings
- Include statistical analysis and recommendations
🎯 Assessment
Phase 1 Exam - Excel and Statistics Mastery
📚 Topics Covered
- Database concepts and relational model
- SQL syntax and structure
- SELECT statements and filtering with WHERE
- Sorting with ORDER BY
- LIMIT and OFFSET for pagination
- DISTINCT for unique values
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX
- GROUP BY for aggregation
- HAVING clause for group filtering
- Working with NULL values
🚀 Projects
- Customer analysis queries
- Sales performance reports
- Inventory tracking system
💪 Practice
Write 100 SQL queries
📚 Topics Covered
- Understanding table relationships
- INNER JOIN for matching records
- LEFT and RIGHT OUTER JOINS
- FULL OUTER JOIN usage
- CROSS JOIN and Cartesian products
- Self joins for hierarchical data
- Multiple joins in complex queries
- Subqueries and nested queries
- Correlated subqueries
- Common Table Expressions (CTEs)
🚀 Projects
- Multi-table reporting system
- Customer journey analysis
- Supply chain analytics
💪 Practice
Master 50 complex join scenarios
📚 Topics Covered
- Window functions introduction
- ROW_NUMBER, RANK, DENSE_RANK
- Running totals with SUM() OVER
- Moving averages with AVG() OVER
- LAG and LEAD for time comparisons
- FIRST_VALUE and LAST_VALUE
- Percentile calculations
- Pivoting and unpivoting data
- CASE statements for conditional logic
- Creating views for reusable queries
🚀 Projects
- Time series analysis system
- Cohort analysis platform
- RFM segmentation model
💪 Practice
Build 30 analytical queries
📚 Topics Covered
- Python setup for data analysis
- Jupyter Notebook environment
- Variables and data types
- Lists, tuples, dictionaries
- Control flow: if, for, while
- Functions and lambda expressions
- File handling and CSV processing
- Error handling basics
- Libraries: NumPy basics
- Introduction to Pandas
🚀 Projects
- Data processing pipeline
- File converter utility
- Analysis automation script
💪 Practice
Complete 50 Python exercises
📚 Topics Covered
- SQL proficiency test
- Python basics assessment
- Data manipulation skills
- Integration projects
- Technical interview prep
🚀 Projects
- MAJOR CAPSTONE: Database Analytics Platform
- Build end-to-end analytics solution with SQL and Python
- Include data extraction, transformation, and reporting
🎯 Assessment
Phase 2 Exam - SQL and Python Proficiency
📚 Topics Covered
- Pandas Series and DataFrames
- Creating DataFrames from various sources
- Reading CSV, Excel, JSON files
- DataFrame indexing and selection
- loc and iloc for data access
- Column operations and manipulation
- Adding and removing columns
- Data type conversions
- Sorting and ranking data
- Handling duplicate data
🚀 Projects
- Data loader utility
- DataFrame explorer tool
- Data profiling system
💪 Practice
Complete 60 pandas exercises
📚 Topics Covered
- Identifying missing data patterns
- Handling missing values strategies
- fillna, dropna, interpolate methods
- Data type issues and conversions
- String cleaning and standardization
- Regular expressions for data cleaning
- Handling outliers detection and treatment
- Data validation techniques
- Dealing with inconsistent data
- Date and time parsing
🚀 Projects
- Data cleaning pipeline
- Quality assurance tool
- Automated data validator
💪 Practice
Clean 25 messy datasets
📚 Topics Covered
- GroupBy operations in pandas
- Aggregation functions: sum, mean, count
- Multiple aggregations with agg()
- Transform and apply functions
- Pivot tables in pandas
- Crosstab for frequency tables
- Melt and wide-to-long reshaping
- Merging and joining DataFrames
- Concatenating data
- Window functions in pandas
🚀 Projects
- Sales analytics engine
- Customer segmentation tool
- Time series processor
💪 Practice
Perform 40 transformation tasks
📚 Topics Covered
- EDA methodology and workflow
- Univariate analysis techniques
- Bivariate analysis methods
- Multivariate exploration
- Distribution analysis
- Correlation analysis
- Statistical testing in Python
- Feature engineering basics
- Dimensionality reduction intro
- Automated EDA tools
🚀 Projects
- Automated EDA pipeline
- Data insights generator
- Statistical report builder
💪 Practice
Complete EDA on 20 datasets
📚 Topics Covered
- NumPy arrays and operations
- Array broadcasting
- Mathematical operations
- Statistical functions in NumPy
- Linear algebra basics
- Random number generation
- Array manipulation and reshaping
- Performance optimization with NumPy
- Memory efficient operations
- NumPy for image processing basics
🚀 Projects
- Numerical computation library
- Statistical calculator
- Matrix operations tool
💪 Practice
Solve 30 numerical problems
📚 Topics Covered
- Matplotlib basics and figure structure
- Line plots, scatter plots, bar charts
- Customizing plots: colors, labels, legends
- Subplots and figure layouts
- Saving and exporting figures
- Seaborn for statistical visualization
- Distribution plots: histograms, KDE, box plots
- Categorical plots: bar, count, violin
- Relationship plots: scatter, line, regression
- Heatmaps and correlation matrices
🚀 Projects
- Visualization library
- Statistical plot generator
- Report automation system
💪 Practice
Create 50 visualizations
📚 Topics Covered
- Plotly for interactive charts
- Creating interactive dashboards
- Hover information and tooltips
- Zoom and pan functionality
- 3D visualizations
- Animated charts and transitions
- Dash framework basics
- Building web applications with Dash
- Callbacks and interactivity
- Deployment of Dash apps
🚀 Projects
- Interactive dashboard
- Real-time monitoring app
- Data exploration tool
💪 Practice
Build 20 interactive visualizations
📚 Topics Covered
- Introduction to Tableau
- Connecting to data sources in Tableau
- Creating worksheets and dashboards
- Calculated fields and parameters
- Filters and hierarchies
- Tableau story creation
- Power BI fundamentals
- Data modeling in Power BI
- DAX formulas for calculations
- Power BI service and sharing
🚀 Projects
- Tableau executive dashboard
- Power BI sales report
- Cross-platform BI solution
💪 Practice
Create 15 BI dashboards
📚 Topics Covered
- Principles of data storytelling
- Narrative structure for data
- Choosing the right visualization
- Color theory and design principles
- Minimalism and clarity
- Annotation and highlighting insights
- Creating compelling presentations
- Executive communication strategies
- Handling questions and objections
- Written reports and documentation
🚀 Projects
- Data story presentation
- Executive briefing deck
- Insight communication toolkit
💪 Practice
Present 10 data stories
📚 Topics Covered
- Time series analysis and forecasting
- Trend and seasonality detection
- Moving averages and smoothing
- Cohort analysis implementation
- Funnel analysis for conversions
- RFM analysis for customer segmentation
- Market basket analysis
- Churn analysis and prediction
- Customer lifetime value calculation
- Attribution modeling basics
🚀 Projects
- Forecasting system
- Customer analytics suite
- A/B testing platform
💪 Practice
Implement 15 analytical techniques
📚 Topics Covered
- Introduction to machine learning
- Supervised vs unsupervised learning
- Training and test data splitting
- Feature selection and engineering
- Scikit-learn library basics
- Linear regression implementation
- Logistic regression for classification
- Decision trees and random forests
- Model evaluation metrics
- Cross-validation techniques
🚀 Projects
- Sales prediction model
- Customer churn predictor
- Classification system
💪 Practice
Build 20 ML models
📚 Topics Covered
- K-means clustering algorithm
- Hierarchical clustering
- DBSCAN for density-based clustering
- Determining optimal clusters
- Customer segmentation strategies
- Market segmentation analysis
- Behavioral segmentation
- Dimensionality reduction with PCA
- t-SNE for visualization
- Anomaly detection methods
🚀 Projects
- Customer segmentation engine
- Anomaly detection system
- Market analysis tool
💪 Practice
Perform 15 clustering analyses
📚 Topics Covered
- Google Analytics fundamentals
- Web metrics and KPIs
- User behavior analysis
- Conversion funnel optimization
- Attribution modeling
- Campaign performance analysis
- SEO analytics basics
- Social media analytics
- Email marketing metrics
- Content performance analysis
🚀 Projects
- Digital marketing dashboard
- Campaign optimizer
- Web analytics report
💪 Practice
Analyze 20 marketing campaigns
📚 Topics Covered
- Working with APIs in Python
- RESTful API concepts
- Authentication and API keys
- Requests library for API calls
- JSON data handling
- Web scraping with BeautifulSoup
- Automating data collection
- Scheduling scripts with cron/Task Scheduler
- Email automation for reports
- Cloud functions for automation
🚀 Projects
- API data collector
- Automated reporting system
- ETL pipeline
💪 Practice
Build 10 automation scripts
📚 Topics Covered
- Advanced analytics review
- ML implementation check
- Visualization mastery
- Business case presentation
- Portfolio review
🚀 Projects
- FINAL CAPSTONE: End-to-End Analytics Solution
- Complete business problem solving with data collection, analysis, ML, visualization, and recommendations
- Present to mock stakeholders
🎯 Assessment
Phase 3 Exam - Professional Data Analyst Assessment
📚 Topics Covered
- Financial statements analysis
- Ratio analysis and metrics
- Cash flow analysis
- Working capital management
- Investment analysis metrics
- Risk metrics: VaR, Sharpe ratio
- Portfolio analysis basics
- Credit risk scoring
- Fraud detection techniques
- Time value of money calculations
🚀 Projects
- Financial dashboard
- Risk assessment model
- Fraud detection system
💪 Practice
Analyze 15 financial datasets
📚 Topics Covered
- Healthcare data types and standards
- Patient data analysis
- Clinical trial analysis
- Healthcare KPIs and metrics
- Disease prediction models
- Patient readmission analysis
- Healthcare cost analysis
- Drug effectiveness studies
- Population health management
- HIPAA compliance basics
🚀 Projects
- Patient analytics dashboard
- Readmission predictor
- Healthcare KPI tracker
💪 Practice
Work with 10 healthcare datasets
📚 Topics Covered
- Retail metrics and KPIs
- Sales performance analysis
- Inventory analytics
- Customer basket analysis
- Product recommendation systems
- Price optimization strategies
- Demand forecasting
- Customer journey mapping
- Conversion rate optimization
- Return analysis
🚀 Projects
- Retail analytics platform
- Recommendation engine
- Inventory optimizer
💪 Practice
Analyze 20 retail scenarios
📚 Topics Covered
- Supply chain metrics and KPIs
- Demand planning and forecasting
- Inventory optimization
- Supplier performance analysis
- Transportation analytics
- Warehouse efficiency metrics
- Order fulfillment analysis
- Supply chain risk assessment
- Network optimization
- Logistics analytics
🚀 Projects
- Supply chain dashboard
- Demand forecasting model
- Route optimization tool
💪 Practice
Optimize 10 supply chain processes
📚 Topics Covered
- HR metrics and KPIs
- Employee turnover analysis
- Recruitment analytics
- Performance management metrics
- Compensation analysis
- Diversity and inclusion metrics
- Employee engagement analysis
- Workforce planning
- Talent analytics
- Learning and development metrics
🚀 Projects
- HR analytics dashboard
- Turnover prediction model
- Compensation analyzer
💪 Practice
Analyze 15 HR scenarios
📚 Topics Covered
- Cloud computing fundamentals
- AWS for data analytics
- S3 for data storage
- Athena for SQL queries
- Redshift data warehouse
- Google Cloud Platform basics
- BigQuery for analytics
- Azure data services
- Databricks introduction
- Snowflake basics
🚀 Projects
- Cloud migration project
- BigQuery analytics pipeline
- Multi-cloud solution
💪 Practice
Deploy 10 cloud analytics solutions
📚 Topics Covered
- Big data concepts and challenges
- Hadoop ecosystem overview
- Spark for big data processing
- PySpark basics
- Distributed computing concepts
- NoSQL databases basics
- Real-time analytics introduction
- Kafka for streaming data
- Data lake vs data warehouse
- Lambda architecture
🚀 Projects
- Big data processing pipeline
- Real-time dashboard
- Distributed analytics system
💪 Practice
Process 5 big data scenarios
📚 Topics Covered
- Building an analytics portfolio
- GitHub for data analysts
- Creating compelling case studies
- Documentation best practices
- Jupyter notebook presentation
- Blog writing for analysts
- LinkedIn optimization
- Personal website creation
- Kaggle competitions
- Contributing to open source
🚀 Projects
- Portfolio website
- 5 detailed case studies
- GitHub repository organization
💪 Practice
Complete portfolio preparation
📚 Topics Covered
- Types of data analyst interviews
- Technical interview preparation
- SQL interview questions
- Python coding interviews
- Case study interviews
- Presentation skills
- Behavioral questions preparation
- STAR method for responses
- Whiteboard problem solving
- Take-home assignments
🚀 Projects
- Interview preparation kit
- Mock presentation
- Take-home project samples
💪 Practice
Complete 20 mock interviews
📚 Topics Covered
- Job search strategies
- Resume optimization for ATS
- Cover letter writing
- LinkedIn job search
- Networking events and conferences
- Industry certifications overview
- Freelancing as an analyst
- Consulting opportunities
- Continuous learning plan
- Career progression paths
🚀 Projects
- Job application package
- Professional network building
- Career roadmap
🎯 Assessment
Final Certification - Professional Data Analyst
📚 Topics Covered
- Bayesian statistics introduction
- Time series advanced techniques
- ARIMA models
- Survival analysis
- Factor analysis
- Structural equation modeling
- Monte Carlo simulations
- Bootstrapping methods
- Non-parametric tests
- Multivariate analysis
🚀 Projects
- Advanced statistical toolkit
- Simulation framework
- Causal analysis project
💪 Practice
Implement 10 advanced methods
📚 Topics Covered
- Neural networks basics
- Deep learning frameworks
- TensorFlow/Keras introduction
- Image data analysis
- Text analytics with deep learning
- Time series with LSTM
- AutoML tools
- Model deployment basics
- Transfer learning
- Deep learning for tabular data
🚀 Projects
- Deep learning predictor
- Text classification system
- AutoML implementation
💪 Practice
Build 5 deep learning models
📚 Topics Covered
- Data pipeline architecture
- ETL vs ELT strategies
- Apache Airflow basics
- Data quality frameworks
- Data governance principles
- Master data management
- Data cataloging
- Metadata management
- Data lineage tracking
- DataOps practices
🚀 Projects
- ETL pipeline
- Data quality monitor
- Automated data pipeline
💪 Practice
Build 5 data pipelines
📚 Topics Covered
- Strategic analytics frameworks
- Competitive intelligence
- Market analysis techniques
- Customer analytics strategy
- Product analytics
- Growth analytics
- Pricing analytics
- Risk analytics
- Performance management
- Balanced scorecard
🚀 Projects
- Strategy dashboard
- Competitive analysis report
- Growth model
💪 Practice
Develop 5 strategic analyses
📚 Topics Covered
- Augmented analytics
- AI-powered analytics
- Natural language analytics
- Automated insights generation
- Real-time analytics trends
- Edge analytics
- IoT analytics
- Blockchain analytics
- Quantum computing impact
- Privacy-preserving analytics
🚀 Projects
- Future tech exploration
- Innovation project
- Trend analysis report
💪 Practice
Explore 5 emerging technologies
📚 Topics Covered
- Microsoft Certified: Data Analyst Associate
- Power BI certification path
- Azure Data Fundamentals
- Azure Data Engineer Associate
- Exam preparation strategies
- Study materials and resources
- Practice tests
- Hands-on labs
- Certification maintenance
- Career impact of certifications
🚀 Projects
- Certification study plan
- Practice project portfolio
- Exam preparation kit
💪 Practice
Complete practice exams
📚 Topics Covered
- Google Data Analytics Certificate
- Google Cloud Data Engineer
- AWS Certified Data Analytics
- AWS Certified Database Specialty
- Preparation timelines
- Hands-on experience requirements
- Lab environments setup
- Community study groups
- Certification roadmaps
- Renewal requirements
🚀 Projects
- Cloud project portfolio
- Multi-cloud comparison
- Certification tracker
💪 Practice
Complete cloud labs
📚 Topics Covered
- Tableau Desktop Specialist
- Tableau Certified Data Analyst
- SAS Certified Specialist
- IBM Data Science Professional
- Databricks Certified Data Analyst
- Alteryx Designer Core
- TDWI certifications
- Domain-specific certifications
- Vendor-neutral certifications
- Certification strategy
🚀 Projects
- Tool-specific portfolios
- Certification showcase
- Skills matrix
💪 Practice
Pursue 2-3 certifications
📚 Topics Covered
- Master's in Data Analytics
- MBA with Analytics Focus
- Online degree programs
- MicroMasters programs
- Nanodegree programs
- Bootcamp options
- University partnerships
- Research opportunities
- PhD considerations
- Academic vs industry paths
🚀 Projects
- Education plan
- Application preparation
- Funding research
💪 Practice
Evaluate education options
📚 Topics Covered
- Marketing Analytics Specialist
- Financial Analyst path
- Healthcare Data Analyst
- Sports Analytics
- Customer Analytics Expert
- Operations Research Analyst
- Quantitative Analyst
- Business Intelligence Developer
- Data Scientist transition
- Analytics Consultant
🚀 Projects
- Specialization roadmap
- Skill gap analysis
- Transition plan
💪 Practice
Choose specialization path
📚 Topics Covered
- Starting as freelance analyst
- Building client base
- Pricing strategies
- Project scoping
- Contract negotiation
- Deliverable management
- Client communication
- Portfolio development
- Marketing yourself
- Networking strategies
🚀 Projects
- Freelance business plan
- Service offerings
- Client pipeline
💪 Practice
Start with 3 clients
📚 Topics Covered
- Leading analytics teams
- Project management for analytics
- Stakeholder management
- Analytics strategy development
- Building data culture
- Change management
- Mentoring junior analysts
- Cross-functional collaboration
- Executive communication
- Budget management
🚀 Projects
- Leadership portfolio
- Team development plan
- Strategy document
💪 Practice
Lead analytics project
📚 Topics Covered
- Staying current with trends
- Reading research papers
- Conference participation
- Publishing articles
- Speaking engagements
- Podcast appearances
- Thought leadership
- Open source contributions
- Research collaborations
- Patent opportunities
🚀 Projects
- Research publication
- Conference presentation
- Innovation project
💪 Practice
Contribute to community
📚 Topics Covered
- Analytics startup ideas
- Market validation
- MVP development
- Funding strategies
- Building analytics products
- SaaS for analytics
- Data monetization
- Analytics as a service
- Partnership strategies
- Scaling challenges
🚀 Projects
- Startup concept
- Business model canvas
- Pitch deck
💪 Practice
Validate business idea
📚 Topics Covered
- Continuous education plan
- Learning resources curation
- Community engagement
- Mentorship circles
- Knowledge sharing
- Personal brand building
- Network maintenance
- Skill refresh cycles
- Technology adoption
- Career pivots
🚀 Projects
- 10-year career plan
- Learning roadmap
- Legacy planning
💪 Practice
Implement learning system
📚 Topics Covered
- Analytics tools comparison
- Free vs paid tools
- Open source alternatives
- Cloud platform credits
- Educational licenses
- Tool selection criteria
- Integration strategies
- Migration paths
- Version control
- Collaboration tools
🚀 Projects
- Tool evaluation matrix
- Technology stack
- Migration plan
💪 Practice
Master 10 essential tools
📚 Topics Covered
- Public datasets catalog
- Government data sources
- Academic datasets
- Industry benchmarks
- API directories
- Web scraping sources
- Subscription databases
- Real-time data feeds
- Synthetic data generation
- Data marketplaces
🚀 Projects
- Data source directory
- API collection
- Dataset library
💪 Practice
Build data repository
📚 Topics Covered
- Professional associations
- Online communities
- Local meetup groups
- Slack/Discord channels
- LinkedIn groups
- Reddit communities
- Stack Overflow
- Kaggle community
- GitHub community
- Conference networks
🚀 Projects
- Community participation plan
- Network map
- Engagement strategy
💪 Practice
Join 10 communities
📚 Topics Covered
- Code standards
- Documentation standards
- Version control best practices
- Security practices
- Privacy compliance
- Ethical guidelines
- Quality assurance
- Performance optimization
- Collaboration workflows
- Project templates
🚀 Projects
- Best practices guide
- Template library
- Standards documentation
💪 Practice
Implement all standards
📚 Topics Covered
- Excel formulas cheat sheet
- SQL commands reference
- Python pandas quick guide
- Statistics formulas
- Visualization best practices
- Machine learning algorithms
- Cloud services comparison
- Tool shortcuts compilation
- Error message solutions
- Performance tips
🚀 Projects
- Personal reference library
- Quick lookup tools
- Troubleshooting guide
📚 Topics Covered
- KPI definitions
- Industry metrics glossary
- Business terms dictionary
- Reporting templates
- Presentation templates
- Communication templates
- Project templates
- Analysis frameworks
- Decision matrices
- ROI calculators
📚 Topics Covered
- Resume templates
- Portfolio examples
- Interview questions bank
- Salary data sources
- Job board list
- Recruiter directory
- Company research tools
- Negotiation strategies
- Career transition guides
- Success metrics
🎯 Assessment
LIFETIME SUPPORT - Continuous updates and community access
Projects You'll Build
Build a professional portfolio with 25+ professional projects across all tools and industries real-world projects.
Phase 1: Excel Dashboards, Statistical Analysis, Business Reports
Phase 2: SQL Analytics, Python Automation, Data Cleaning Pipelines
Phase 3: ML Models, Interactive Dashboards, Industry Solutions
Final: Complete Analytics Platform with Real Business Impact
Weekly Learning Structure
Theory Videos
5-6 hours
Hands On Practice
8-10 hours
Projects
3-4 hours
Case Studies
2-3 hours
Total Per Week
15-20 hours
Certification & Recognition
Phase Certificates
Certificate after each phase
Final Certificate
Professional Data Analyst Certification
Linkedin Badge
Verifiable LinkedIn credential
Industry Recognized
Recognized by employers
Portfolio Projects
25+ projects for portfolio
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Tools
Excel (Advanced), SQL, Python, Tableau, Power BI, Google Analytics
Programming
Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn)
Statistics
Descriptive, Inferential, Hypothesis Testing, Regression
Visualization
Charts, Dashboards, Interactive Reports, Storytelling
Machine Learning
Regression, Classification, Clustering, Time Series
Business
KPIs, Metrics, Reporting, Presentation, Communication
Databases
SQL, NoSQL basics, Data Warehousing, ETL
Cloud
AWS, GCP, Azure basics for analytics
Soft Skills
Problem-solving, Critical thinking, Communication
Support & Resources
Live Sessions
Weekly Q&A and problem-solving
Mentorship
1-on-1 guidance from industry analysts
Community
Active Slack/Discord community
Project Review
Detailed feedback on all projects
Career Support
Resume review, mock interviews, job referrals
Lifetime Access
All content and future updates
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Education
High school mathematics helpful
Technical Skills
Basic computer skills required
Equipment
Computer with MS Office/Google Sheets
Time Commitment
15-20 hours per week
English
Good comprehension required
Motivation
Curiosity about data and insights
Who Is This Course For?
Students
College students seeking analytical careers
Working_professionals
Career switchers to data field
Business_professionals
Managers wanting data skills
Excel_users
Excel users wanting to advance
Entrepreneurs
Business owners needing insights
Marketers
Digital marketers seeking analytics
Anyone
Anyone interested in data-driven decisions
Career Paths After Completion
Data Analyst
Business Analyst
Marketing Analyst
Financial Analyst
Operations Analyst
Product Analyst
Healthcare Data Analyst
Supply Chain Analyst
HR Analyst
Freelance Analytics Consultant
Business Intelligence Developer
Analytics Manager
Salary Expectations
After 2 Months
₹3-5 LPA (Junior Analyst)
After 4 Months
₹5-8 LPA (Data Analyst)
After 6 Months
₹8-15 LPA (Senior Analyst)
Experienced
₹15-25+ LPA (Lead/Manager)
Freelance
₹500-2000/hour
International
$50k-100k+ USD
Course Guarantees
Money Back
30-day money back guarantee
Job Assistance
Placement support and referrals
Lifetime Updates
Free access to new content
Mentorship
Industry expert guidance
Certificate
Professional certification
Portfolio
25+ real-world projects