Mastering Data Analysis from Scratch
- Description
- Curriculum
- FAQ
- Reviews
- What You’ll Learn
- Excel Mastery: From basic functions to advanced VBA automation for data tasks
- Power BI Expertise: Build interactive dashboards, create DAX measures, and publish reports
- SQL for Analysis: Write complex queries for data extraction and insights
- Python Data Wrangling: Clean, analyze, and visualize data using Pandas and Matplotlib
- Who This Course Is For
✔ Beginners with no prior experience (starts from scratch) ✔ Analysts upgrading skills to Excel VBA, Power BI, or SQL ✔ Professionals transitioning to data-driven roles ✔ Students seeking hands-on tools for internships/jobs
- Course Format & Schedule
- Teaching Method: Live Zoom classes(interactive) with PowerPoint slides
- Materials: Lifetime access to PPTs, datasets, and cheat sheets
- Projects: Build Power BI dashboards, Excel automation scripts, and SQL pipelines and Python
- Duration: 9 months(weekends: Sat-Sun, 1.5 hours/session)
- Assessment: Quizzes + capstone project (e.g., end-to-end sales analysis)
Certificate: Downloadable after project completion
Excel Complete Course: Beginner to Advanced + VBA Projects
Module 1: Excel Interface and Basics
Module 2: Data Entry and Formulas
Module 3: Basic Functions and Auto Tools
Module 4: Worksheet Management
Module 5: Formatting and Conditional Logic
Module 6: Visual Elements and Charts
Module 7: Printing and Page Layout
Module 8: Templates and Practice
Module 9: Data Management and Lists
Module 10: Database Functions
Module 11: Data Validation
Module 12: Importing and Exporting Data
Module 13: PivotTables and Power Pivot
Module 14: Managing Large Datasets
Module 15: Advanced Formulas and Named Ranges
Module 16: Excel 365 Functions
Module 17: Formula Auditing and Protection
Module 18: Introduction to Macros and VBA
Module 19: VBA Programming Basics
Module 20: VBA Logic and Control Structures
Module 21: VBA Projects
Mastering Power BI: Your Path to Data Excellence
Module 1: Introduction to Power BI
Module 2: Getting Started with Power BI Desktop
Module 3: Creating a Simple Power BI Report
Module 4: Getting and Shaping Data
Module 5: Advanced Data Transformations
Module 6: Creating the Data Model
Module 7: Creating a Date Table
Module 8: Adding DAX Measures
Module 9: Cards and Other Text Visuals
Module 10: Chart Visuals
Module 11: Creating and Customizing Map Visuals
Module 12: Specialized and AI-Powered Visuals
Module 13: Interactions, Filters, and Drill-Throughs
Module 14: Enhancing Reports with Design Elements
Module 15: Publishing and Sharing Reports
Module 16: Datasets, Dashboards, and Workspaces
SQL for Data Analysis — From Fundamentals to Advanced Insights
Module 1: Introduction to SQL for Data Analysis
Module 2: Preparing Data for Analysis
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134
Types of Data: Structured vs. Unstructured -
135
SQL Data Types: Quantitative, Qualitative
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136
Data Sources: First, Second, and Third-Party Data
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137
SQL Query Structure
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138
Data Profiling: Distributions, Histograms, Frequencies
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139
Binning, n-Tiles, and Data Sampling
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140
Data Quality: Detecting and Removing Duplicates
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141
Data Cleaning using CASE, CAST, COALESCE, NULLIF
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142
Handling Missing Values
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143
Shaping Data for BI, ML, and Reporting
Module 3: Time Series Analysis with SQL
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144
Date & Time Data Types
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145
Time Zone and Format Conversions
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146
Date/Time Arithmetic
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147
Joining Data Across Sources
-
148
Trend Analysis and Indexing
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149
Calculating Percent Change and Contribution
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150
Rolling Averages and Time Windows
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151
Cumulative Values
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152
Seasonality and Period-over-Period Analysis (YoY, MoM, etc.)
Module 4: Cohort Analysis with SQL
Module 5: Text Analysis with SQL
Module 6: Anomaly Detection with SQL
Module 7: Experiment and A/B Test Analysis with SQL
Module 8: Building Complex Analytical Datasets
Module 9: Capstone Projects and Final Concepts
Module 1: Introduction to Data Analysis and Python
Module 2: Python Essentials for Data Analysis
Module 3: Working with Data Structures
Module 4: Introduction to NumPy
Module 5: Data Analysis with pandas
Module 6: Importing and Exporting Data
Module 7: Data Cleaning and Preparation
Module 8: Data Wrangling and Merging
Module 9: Data Visualization
Module 10: Group Operations and Aggregations
Is this course suitable for complete beginners?
Absolutely! We start from scratch – no math or coding experience needed. Just bring curiosity
Can I pay in installments?
A: Yes! Choose:
• Full payment (5% discount)
• 2-month interest-free installments
• Full payment (5% discount)
• 2-month interest-free installments
How do I get my certificate?
Automatically downloadable from your student dashboard after completing all projects or will be sent to your email ID.
How flexible is the schedule?
Weekend Batch: Sat - Sun (1.5 hr/day as per your convenience)
Is this course online or offline?
This is primarily an online learning program – no need to visit any physical center! Engage, Ask, Learn - Live! However, if you're based in Vadodara and prefer in-person training, we’re happy to arrange offline batches. Just WhatsApp us at +91 92743 73121 to discuss options.
Will I get access to course material after finishing the course?
Yes! You’ll get lifetime access to:
• All PPT slides (PDF format)
• Python/R code templates
• Project guides & datasets
• Cheat sheets (stats formulas, key concepts)
• All PPT slides (PDF format)
• Python/R code templates
• Project guides & datasets
• Cheat sheets (stats formulas, key concepts)
How do I enroll and get access to the course?
Purchase: Create an account (or log in), complete the payment, and gain access to the course materials.
Live Sessions: After payment, our team will contact you within 24–48 hours to schedule your live training batches.
Live Sessions: After payment, our team will contact you within 24–48 hours to schedule your live training batches.
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