Data Analyst Course in Bangalore

DATA ANALYST - SYLLABUS

Introduction to Course

EXCEL

Introduction

MS office Versions(similarities and differences),Interface(latest available version),Row and Columns, Keyboard shortcuts for easy navigation, Data Entry(Fill series),Find and Select, Clear Options,Ctrl+Enter,Formatting options(Font,Alignment,Clipboard(copy, paste special))

Referencing, Named ranges,Uses,Arithemetic Functions

Mathematical calculations with Cell referencing(Absolute,Relative,Mixed) Functions with Name Range, Arithmetic functions(SUM,SUMIF,SUMIFS,COUNT,COUNTA,COUNTIFS,AVERAGE,AVERAGEIFS,MAX,MAXIFS,MIN,MINIFS)

Logical functions

Logical functions:IF,AND,OR,NESTED IFS,NOT,IFERROR
Usage of Mathematical and Logical functions nested together

Referring data from different tables: Various types of Lookup, Nested IF

LOOKUP,VLOOKUP,NESTED VLOOKUP,HLOOKUP,INDEX,INDEX WITH MATCH FUNCTION,INDIRECT,OFFSET

Advanced functions

Combination of Arithmatic,Logical,Lookup functions, Data Validation(with Dependent drop down)

Date and Text Functions

Date Functions:DATE,DAY,MONTH,YEAR,YEARFRAC,DATEDIFF,EOMONTH; Text Functions:TEXT,UPPER,LOWER,PROPER,LEFT,RIGHT,SEARCH,FIND,MID,TTC, Flash Fill

Data Handling::Data cleaning, Data type identification, Remove Duplicates, Formatting and Filtering

Number Formatting(with shortcuts),CTRL+T(Converting into an Excel Table), Formatting Table, Remove Duplicate, SORT, Advanced Sort,, FILTER, Advanced Filter

Data Visualization: Conditional Formatting, Charts

Conditional formatting(icon sets/Highlighted colour sets/Data bars/custom formatting),Charts:Bar,Column,Lines,Scatter,Combo,Gantt,Waterfall,pie

Data Summarization: Pivot Report and Charts

Pivot Reports:Insert,Interface,Crosstable Reports;Filter,Pivot Charts,
Slicers:Add,Connect to multiple reports and charts
Calculated field, Calculated item

Data Summarization: Dashboard Creation, Tips and Tricks

Dashboard:Types,Getting reports and charts together, Use of Slicers.
Design and placement: Formatting of Tables,Charts,Sheets,Proper use of Colours and Shapes

Connecting to Data: Power Query, Pivot, Power Pivot within Excel

Power Query: Interface, Tabs; Connecting to data from other excel files, text files, other sources, Data Cleaning, Transforming, Loading Data into Excel Query

Connecting to Data: Power Query, Pivot, Power Pivot within Excel

Using Loaded queries, Merge and Append, Insert Power Pivot, Similarities and Differences in Pivot and Power Pivot reporting. Getting data from databases, workbooks, webpages

VBA and Macros

View Tab, Add Developer Tab, Record Macro:Name,Storage
Record Macro to Format table(Absolute Ref),Format table of any size(Relative ref),Play macro by button,shape,as command(in new tab),Editing Macros

VBA and Macros

VBA:Introduction to the basics of working with VBA for Excel: Subs, Ranges, Sheets. Comparing values and conditions, if statements and select cases. Repeat processes with For loops and Do While or Do Until Loops

VBA and Macros

Communicate with the end-user with message boxes and take user input with input boxes, User Form

POWER BI

Understanding Power BI Background
Going through Power BI galary provided by BI forum
Installation of Power BI and check list for perfect installation
Formatting and Setting prerequisits

Getting familiar with the interface
Understanding type of Visualisation
Loading data from multiple sources
Data type and the type of default chart on drag drop
Geo location Map integration

Web scraping and populate data in Power BI
Preparing sample dashboard as get started
Map visual Types and usages in different variation

Understanding scatter Plot chart
Use and implementation of Clustering
Play axis and the parameters
Defining data type and changing data parameters

Understanding Column Chart
Understanding Line Chart
Implementation of Conditional formating
Implementation of Formating techniques

Loading data from folder
Understanding Power Query in detail
Promote header, Split to limiter, Add columns, append, merge queries etc

Loading multiple data from different format
understanding modelling (How to create relationship)
connection type, Data cardinality, Filter direction
Making dashboard using new loaded data

Introduction to Filter and types of filter
Data analysis tool
Trend analysis, Future forecast
Play access with clustering integration

Understanding Tool tip with information
Use and understanding of Drill Down
Visual interaction and customisation of visual interaction

Drill through function and usage
Button triggers,
Bookmark and different use and implementation
Navigation buttons

Introduction to DAX
Calculated column, DAX measure and difference
Related, lookup value , Calculate, Filter, Date functions Sumx, All select etc

Introduction to Quick measure
Use and implementation of Quick measure
Complex dax measure
Data declaration in dax and usage

Understanding the use of AI in power Bi
AI analysis in power bi using chart
Q&A chat bot and the use in real life
Hirarchy tree

Custom visual and understanding the use of custom
Loading custom visual, Pinning visual
Loading to template for future use
Publishinhg Power Bi

Introduction to app
Schedule refresh
Data flow and use power bi from online
Download data as live in power point and more

SQL

Introduction to Mysql

Introduction to Databases, Introduction to RDBMS, Explain RDBMS through normalization, Different types of RDBMS , Software Installation(MySQL Workbench)

SQL Commands and Data Types

Types of SQL Commands (DDL,DML,DQL,DCL,TCL) and their applications Data Types in SQL (Numeric, Char, Datetime)

DQL & Operators

SELECT:LIMIT,DISTINCT,WHERE AND,OR,IN, NOT IN,BETWEEN, EXIST, ISNULL ,IS NOT NULL,Wild Cards, ORDER BY

Case When Then and Handling NULL Values

Usage of Case When then to solve logical problems and handling NULL Values (IFNULL, COALESCE)

Group Operations & Aggregate Functions

Group By, Having Clause. COUNT, SUM,AVG,MIN, MAX, COUNT String Functions, Date & Time Function

Constraints

NOT NULL, UNIQUE, CHECK, DEFAULT, ENUM, Primary key,Foreign Key (Both at column level and table level)

Joins

Inner, Left, Right, Cross, Self Joins, Full outer join

DDL Commands

DDL: Create, Drop, Alter, Rename, Truncate, Modify, Comment

DML & TCL Commands

DML: Insert, Update & Delete TCL: Commit, Rollback, Savepoint and Data Partitioning

Indexes and Views

Indexes (Different Type of Indexes) and Views in SQL

Stored Procedure

Stored Procedures - Procedure with IN Parameter, Procedure with OUT parameter, Procedure with INOUT parameter

Function, Constructs

User Define Function, Window Functions - Rank, Dense Rank, Lead, Lag, Row_number

Union, Intersect, Sub-query

Union, Union all,Intersect, Sub Queries, Multiple Query

Exception Handling, Loops, Cursor

Handling Exceptions in a query, CONTINUE Handler, EXIT handler,
Loops: Simple, Repeat, While
Cursor

Triggers

Triggers - Before | After DML Statement

TABLEAU

Introduction to Tableau

What is Tableau ?
What is Data Visulaization ?
Tableau Products
Tableau Desktop Variations
Tableau File Extensions
Data Types, Dimensions, Measures, Aggregation concept
Tableau Desktop Installation
Data Source Overview
Live Vs Extract

Basic Charts & Formatting

Overview of worksheet sections
Shelves
Bar Chart, Stacked Bar Chart
Discrete & Continuous Line Charts
Symbol Map & Filled Map
Text Table, Highlight Table
Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider
Marks Card

Filters

What are Filters ?
Types of Filters
Extract, Data Source, Context, Dimension, Measure, Quick Filters
Order of operation of filters
Cascading
Apply to Worksheets

Calculations

Need for calculations
Types: Basic, LOD's, Table
Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Tablea calculation functions, numerical functions, Date functions

Calculations Continued

LOD's: Examples
Table Calculations: Examples

Data Combining Techniques

What is Data Combining Techniques ?
Types
Joins, Relationships, Blending & Union

Custom Charts

Dual Axis
Combined Axis
Donut Chart
Lollipop Chart
KPI Cards (Simple)
KPI Cards (With Shape)

Groups, Bins, Hierarchies, Sets, Parameters

What are Groups ? Purpose
What are Bins ? Purpose
What are Hierarchies ? Purpose
What are Sets ? Purpose
What are Parameters ? Purpose and examples

Analytics & Dashboard

Reference Lines
Trend Line
Overview of Dashboard: Tiled Vs Floating
All Objects overview, Layout overview
Dashboard creation with formatting

Dashboard Actions & Tableau Public

Actions: Filter, Highlight, URL, Sheet, Parameter, Set
How to save the workbook to Tableau Public website ?

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Data Analyst Course in Bangalore

Name: Reviews
Brand: KLabs IT
Rating: 5 (1229 reviews)

KLabs IT, located in Marathahalli, Bangalore, offers an industry-focused Data Analyst course in Bangalore designed to equip individuals with the essential skills and knowledge needed to excel in the field of data analysis. This comprehensive program is tailored for aspiring professionals and working individuals seeking to enhance their expertise in managing and analyzing data. The Data Analyst course in Bangalore covers a well-structured curriculum that begins with the fundamentals of data analysis, including data cleaning and preparation, statistical analysis, and exploratory data techniques. Participants gain hands-on experience with industry-standard tools such as Microsoft Excel, SQL, Python, and R to process and analyze complex datasets efficiently. Advanced topics such as data visualization, dashboard creation using tools like Tableau and Power BI, and data storytelling are included to ensure participants can present actionable insights effectively. This program also delves into the basics of machine learning, introducing concepts such as regression, classification, and clustering to give participants a competitive edge. Real-world scenarios and live projects are integrated into the training to provide practical experience and build problem-solving skills. The course emphasizes job readiness by including resume building, interview coaching, and mock interviews. KLabs IT's Data Analyst course in Bangalore is delivered by highly experienced trainers who offer personalized guidance to each participant throughout the program. Daily classes are complemented with practical assignments to strengthen understanding and application of concepts. The training is suitable for recent graduates, working professionals, or anyone seeking a career transition into the rapidly growing field of data analytics. Post-completion, participants receive an industry-recognized certification, enhancing their employability. With a proven track record of successful placements and a 100% placement guarantee, KLabs IT ensures that its students are ready to thrive in the competitive job market. Enroll in KLabs IT’s Data Analyst course in Bangalore today and take the first step toward building a successful career in the high-demand field of data analytics. Whether you're just starting out or looking to upskill, this program is your gateway to mastering the art of analyzing and interpreting data for strategic decision-making.

Institute for Data Analyst course in Bangalore

KLabs IT is the ideal choice for pursuing a Data Analyst course due to its industry-relevant curriculum and expert trainers. Located in Bangalore, KLabs IT offers hands-on training in data analysis tools like Excel, SQL, Python, and Tableau, along with advanced concepts such as machine learning basics and data storytelling. Students benefit from live projects, personalized guidance, and a focus on real-world applications. The institute provides comprehensive career support, including resume preparation, mock interviews, and a 100% placement guarantee. With a proven track record of success and industry-recognized certification, KLabs IT ensures students are job-ready and future-focused in data analytics.

Placement procedure of the Best Data Analyst Course in Bangalore

Completing the Data Analyst course at KLabs IT ensures a strong foundation for your career with a 100% placement guarantee. The institute partners with leading companies to provide students with lucrative job opportunities in data analytics. After training, students receive comprehensive career support, including resume preparation, interview coaching, and mock interviews, to excel in recruitment processes. KLabs IT’s focus on hands-on projects and real-world skills ensures students are job-ready. Graduates secure roles such as Data Analyst, Business Analyst, and Reporting Analyst in reputed organizations, equipped with industry-recognized certifications and the expertise to thrive in today’s competitive job market.

Conclusion of Data Analyst Course in Bangalore

In conclusion, KLabs IT provides a comprehensive Data Analyst course that equips students with the skills and tools needed to succeed in the dynamic field of data analytics. With hands-on training, live projects, and expert mentorship, students gain practical knowledge to handle real-world challenges. The institute's dedicated placement support, including resume building and mock interviews, ensures graduates are fully prepared to secure rewarding careers. Backed by a 100% placement guarantee and industry-recognized certification, KLabs IT empowers students to excel in roles like Data Analyst and Business Analyst in top organizations. Choose KLabs IT for a successful and future-ready career.

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Data Analyst Course in Bangalore