This Data Analyst course from SQL School will transform you into a Data Analytics expert. In this Data Analyst course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment in addition to Mock Interviews, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project.
PLAN A | PLAN B | PLAN C | |
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Course includes | Power BI | T-SQL, Power BI |
T-SQL, Power BI, Python Analytics |
Total Duration | 4 Weeks | 7 Weeks | 11 Weeks |
Power BI Report Design | ✔ | ✔ | ✔ |
Power BI Desktop, Custom Visuals | ✔ | ✔ | ✔ |
Data Modelling with Power Query | ✔ | ✔ | ✔ |
Data Modelling with DAX | ✔ | ✔ | ✔ |
Power BI Cloud, Excel Analysis | ✔ | ✔ | ✔ |
Power BI Mobile, R, REST API | ✔ | ✔ | ✔ |
PL 300 Exam Guidance | ✔ | ✔ | ✔ |
Real-Time Project in Power BI | ✔ | ✔ | ✔ |
SQL Database, T-SQL Queries | ❌ | ✔ | ✔ |
Normal Forms, Joins, Query Tuning | ❌ | ✔ | ✔ |
Sub Queries, Stored Procedures | ❌ | ✔ | ✔ |
Excel Pivot Tables, Pivot Charts | ❌ | ✔ | ✔ |
Python Data Analytics | ❌ | ❌ | ✔ |
Python DataFrames | ❌ | ❌ | ✔ |
Pandas & BigData | ❌ | ❌ | ✔ |
Total Course Fee* | INR 12000 USD 150 |
INR 17000 USD 200 |
INR 29000 USD 400 |
SQL Server & T-SQL Schedules | ||||
S No | Time (IST, Mon - Fri) | Start Date | ||
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1 | 6 AM - 7 AM | Dec 5th | Register | |
2 | 8 AM - 9 AM | Dec 13th | Register | |
3 | 6 PM - 7 PM | Jan 3rd | Register | |
4 | 8 PM - 9 PM | Jan 22nd | Register | |
5 | 9 PM - 10 PM | Dec 19th | Register |
Power BI Training Schedules | |||
S No | Time (IST, Mon - Fri) | Start Date | |
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6 | 8 AM - 9 AM | Jan 3rd | Register |
7 | 6 PM - 7 PM | Dec 11th | Register |
8 | 8 PM - 9 PM | Nov 28th | Register |
Python Analytics Training Schedules | |||
S No | Time (IST, Mon - Fri) | Start Date | |
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9 | 8 AM - 9 AM | Dec 5th | Register |
Data Analyst Training Demo Video : Click Here
Ch 1: DATABASE INTRODUCTION
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Ch 5: SQL Basics - 3, TSQL INTRO
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Ch 9: Functions, Procedures Basics
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Ch 2: SQL SERVER INSTALLATION
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Ch 6: Constraints, Index Basics
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Ch 10: TRIGGERS & TRANSACTIONS
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Ch 3: SSMS Tool, SQL BASICS - 1
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Ch 7: Joins Basics, TSQL Queries
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Ch 11: Normal Forms, Cursors
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Ch 4: SQL BASICS - 2
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Ch 8: Group By in TSQL, Views Basics
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Ch 12: TSQL Queries, SQL Analytics
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Case Study 1: Database Design with Tables, Constraints, Keys & Relations |
Case Study 2: Joins with Group By, Sub Queries, Views, Excel Analytics |
Part 1: Power BI Report Design |
Part 2: Power Query, Cloud (Service) |
Part 3: DAX & Report Server |
Ch 1: POWER BI INTRODUCTION
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Ch 7: POWER QUERY LEVEL 1
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Ch 13: DAX Functions - Level 1
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Ch 2: Basic Report Design
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Ch 8: POWER QUERY LEVEL 2
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Ch 14: DAX Functions - Level 2
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Ch 3: Visual Interaction, Visual Sync
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Ch 9: POWER QUERY LEVEL 3
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Ch 15: DAX Functions - Level 3
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Ch 4: Grouping & Hierarchies
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Ch 10: POWER BI CLOUD - 1
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Ch 16: DAX Functions - Level 4
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Ch 5: Filters & Bookmarks
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Ch 11: POWER BI CLOUD - 2
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Ch 17: Power BI Report Server
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Ch 6: Big Data Access, Visuals
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Ch 12: POWER BI CLOUD - 3
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Ch 18: Power BI Admin & AI
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Power BI : Realtime Project (Sales - Retail) |
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Phase 1 : Basic Report Design
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Phase 2 : SME Level
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Phase 3: Deployments (Cloud, Server)
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