
Data Analyst
Diploma in Data Analyst
Data Analyst is Most demanded in company. Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically-guided decisions. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption
9+ Expert Mentors
200+ Assignments
Average CTC 9 LPA
( 755 Review)
You will Learn




Variable
Course Key Points
Data types
Operators
Functions
Flow control
Python files
Create Database
Aggregate Function
Pivot Table
Update & Delete
Clauses
Statements
Slicer
Power Query
Constraints
Features

Installment

Digital
Notes

Flexible Timing

Live Projects

Job
Assistance

Smart
Classes

Expert
Trainers

Practical
Learning

Course Content
Module 1 : Advance Excel (Official and Financial) with MIS Reporting & A.I
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Functions and Formula (Logical, Reference, Text, Math, Finance etc)
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(HLOOKUP, VLOOKUP, match, trim, date, time, if, sumsq, daverage, len, ifna, FV etc)
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Structure Build, Reference, Range,
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MIS Reporting
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Practical Illustration and Projects with Groups of Function / formula
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Menu / Tabs (Pivot Table, sorting, filtering, grouping, consolidate, scenario, goal seek, Data table, data validation, conditional formatting etc)
Module 2: Power BI
Introduction to business intelligence (BI), Stages of business intelligence (BI), Use cases of BI, Various BI tools, Overview of data warehouse and concepts, Introduction to Power BI, Why Power BI?, Power BI components, Power BI pricing structure, Building blocks of Power BI, Architecture of Power BI, Introduction to Power BI desktop, Installation of Power BI desktop, The key features of Power BI workflow, Process of creating reports in Power BI, Creating Dashboard, Using DAX, Power Query, Different types of Charts. Etc
Module 3: Structured Query Language (SQL)
Introduction to SQL, Setting the Environment, About MySQL, what is database? Types of databases, DBMS (Database management System), Creating Database, Drop Database, Select Database, Tables in SQL, Datatypes, Constraints, SQL Operators, SQL Queries, SQL Commands (DDL, DML etc) SQL Clauses, Aggregate Functions, Joins, Views etc.
Module 4: Python
Introduction to Python, Python Modules, Operators, Conditional Statements, Loop Statements, Strings, List Collection, Tuple Collection, Set Collection, Dictionary Collection, Input and Output, File Input/Output, Python Functions etc.
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this Course?


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