Business Analytics Course

Business Analytics Course (Data Analytics)

Duration : 9 months
Fees : 49000/-
100% Placement Assistance
Online and Offline Classes
Learn from Industry Experts
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Coding Bytes Advanced Business Analytics Course

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Course Highlights

  • Introduction
  • Python Programming
  • Microsoft Excel
  • MIS
  • My SQL
  • Power BI
  • Tableau

Business Analytics Course Curriculum

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Python Programming
  • Introduction to Python.
  • Python Data Types.
  • Python Program Flow Control.
  • Functions,Modules & Packages.
  • String, Lists & Dictionary Manipluations.
  • File Operations.
  • Object Oriented Programming.
  • Regular Expressions.
  • Python Exception Handling.
  • Python Database Interaction.
  • Contacting user through Email in Python.
  • Programming using Multithreading.
  • SQL databases connection using Python.
  • Python Multithreading.
  • Real time use of Class in Live Projects.
  • Building Blocks.
MS-Excel Content (Core + Advance)

Session 1: Introduction

1.01 Introduction

1.02 Interface

1.03 Tabs and Ribbons

1.04 Document Windows

1.05 Navigation Tips

1.06 Office Button and Save

Session 2: Entering, Editing and Formatting Data

2.01 Introduction

2.02 Entering Data

2.03 Fonts, Fills, and Alignment

2.04 Cut, Copy, and Paste

2.05 Paste Special

2.06 Undo and Redo

2.07 Moving, Finding, and Replacing a Value

2.08 Cell Styles

2.09 Comments

Session 3: Formatting Numbers

3.01 Introduction

3.02 Currency Format

3.03 Format Painter

3.04 Formatting Dates

3.05 Custom and Special Formats

Session 4: Managing Worksheets

4.01 Introduction

4.02 Naming and Moving Worksheets

4.03 Copying Worksheets

4.04 Adding, Deleting and Hiding Worksheets

4.05 Grouping Worksheets

4.06 Moving, Copying, Deleting and Hiding Grouped Worksheets

Session 5: Modifying Rows and Columns

5.01 Introduction

5.02 Inserting and Deleting Columns and Rows

5.03 Inserting & Deleting Cells

5.04 Inserting Multiple Columns & Rows

5.05 Modifying Cell Width and Height

5.06 Hiding and Unhiding Rows and Columns

Session 6: Understanding Formulas

6.01 Introduction

6.02 Using Operations

6.03 Creating Formulas

6.04 AutoSum

6.05 Common Formulas

6.06 Searching for Formulas

6.07 Copying Formulas

6.08 Using Relative and Absolute References

Session 7: Changing Views

7.01 Introduction

7.02 Workbook Views

7.03 Show/Hide

7.04 Zoom Features

7.05 Freeze Panes

7.06 Split Windows

7.07 Viewing Multiple Windows

7.08 Minimize the Ribbon

7.09 Worksheet Backgrounds

7.10 Watermarks

Session 8: AutoFill and Custom Lists

8.01 Introduction

8.02 AutoFill a Series

8.03 AutoFill Non-Adjacent Cells

8.04 AutoFill on Multiple Sheets

8.05 Creating Custom Lists

8.06 Series Formatting

Session 9: Conditional Formatting

9.01 Introduction

9.02 Highlight Cells Rules

9.03 Top/Bottom Rules

9.04 Data Bars

9.05 Color Scales

9.06 Custom Formatting Rule

Session 10: Tables

10.01 Introduction

10.02 Insert a Table and Style Options

10.03 Add Rows and Columns

10.04 Perform a Function in a Table

10.05 Summarise With Pivot Table

Session 11: Data Tools

11.01 Introduction

11.02 Data Validation

11.03 Drop-Down Lists

11.04 Removing Duplicates

11.05 Text To Columns

11.06 Goal Seek

11.07 Scenario Manager

Session 12: Referencing Formulas

12.01 Introduction

12.02 Multiple Sheet References

12.03 Consolidating Data – With or Without Links

12.04 Trace the Precedents and Dependents

12.05 Using the Watch Window

Session 13: Ranges and Dates

13.01 Introduction

13.02 Cell Names

13.03 Named Ranges

13.04 Formulas with Cell Names

13.05 Date Formulas

Session14: Lookups

14.01 Introduction

14.02 VLOOKUP

14.03 VLOOKUP Exact Match

14.04 HLOOKUP

14.05 HLOOKUP Exact Match

Session 15: Conditional Logic

15.01 Introduction

15.02 IF Statement

15.03 Nested IF

15.04 AND

15.05 OR

15.06 NOT

15.07 IFERROR

15.08 SUMIF

15.09 AVERAGEIF

15.10 COUNTIF & COUNTIFS

15.11 SUMIFS

15.12 AVERAGEIFS

Session 16: Text Formulas

16.01 Introduction

16.02 Case Formulas

16.03 Fix Number Fields

16.04 Trim Spaces

16.05 Substitute Text

Session 17: Introduction to Charts

17.01 Introduction

17.02 Chart Types

17.03 Instant Chart

17.04 Update Chart

17.05 Column Chart

17.06 Picture Fill

17.07 Adjust Chart Size

17.08 Line Chart

17.09 Scatter Chart

Session 18: Formatting Charts

18.01 Introduction

18.02 Chart Styles

18.03 Chart Layouts

18.04 Add Labels

18.05 Axis Options

18.06 Chart Title

18.07 Legends

18.08 Data Labels

Session 19: Adding Graphics to Spreadsheets

19.01 Introduction

19.02 Insert Pictures

19.03 Modifying Pictures

19.04 Insert Shapes

19.05 Insert SmartArt

19.06 Apply Themes

19.07 Arrange

Session 20: Outline, Sort, Filter, and Subtotal

20.01 Introduction

20.02 Group and Ungroup

20.03 Sort Data

20.04 Sort Multiple Levels

20.05 Filter Data

20.06 Advanced Filter

20.07 Conditional Sorting and Filtering

20.08 Sorting with Custom Lists

20.09 Subtotal

Session 21: PivotTables

21.01 Introduction

21.02 Creating PivotTables

21.03 Choosing Field

21.04 PivotTable Layout

21.05 Filtering PivotTables

21.06 Modifying PivotTable Data

21.07 PivotCharts

Session 22: Protecting Data

22.01 Introduction

22.02 Workbook Passwords

22.03 Protecting Workbooks

22.04 Unlocking Cells

Session 23: Collaboration

23.01 Introduction

23.02 Document Properties

23.03 Inserting Hyperlinks

23.04 Sharing a Workbook

23.05 Track Changes

23.06 Accept/Reject Changes

23.07 Mark as Final

Session 24: Printing

24.01 Introduction

24.02 Page Orientation

24.03 Page Breaks

24.04 Print Area

24.05 Margins

24.06 Print Titles

24.07 Headers and Footers

24.08 Scaling

24.09 Sheet Options

Session 25: Saving a Workbook

25.01 Introduction

25.02 Save As Previous Version

25.03 AutoRecover Save Options

25.04 Templates

25.05 Save As PDF

25.06 Save As Web Page

25.07 Macro-Enabled Workbook

Session 26: Macros

26.01 Introduction and Macro Security

26.02 Recording a Macro

26.03 Assign a Macro to a Button or Shape

26.04 Run a Macro upon Opening a Workbook

26.05 How to Inspect and Modify a Macro

MIS(Management Information System)

Module 1: Principles of Information Systems

  1. Explain the importance of determining information system requirements for all management levels by describing the differences between various types of information systems.
  2. Describe how information systems are developed.
  3. Describe the computer revolution and its impact on the way business is conducted.
  4. Use critical-thinking skills in identifying information systems problems and investigate existing literature about hardware and software solutions to problems.
  5. Know the components and functions of computer systems, both hardware and software.
  6. Describe the advances in networking, data communications and the Internet and how they affect the way business is conducted.
  7. Identify which information technology tools are used to solve various business problems.
  8. Display proficiency solving business problems using modern productivity tools (e.g., spreadsheet, database) or creating custom programs.

Module 2: Statistical Analysis for Business

  1. Use data from a sample to make inferences about a population.
  2. Apply probability theory in decision making situations.
  3. Formulate hypotheses for decision making and research.
  4. Analyze data using appropriate statistical techniques.
  5. Interpret the results of statistical analysis.
  6. Use data analytic software to create visualizations and summary reports of data.

Module 3: Business Processes, ERP, and Analytics

  1. Define and explain basic processes used by businesses.
  2. Define and explain Enterprise Resource Planning system concepts and be able to contrast an ERP to traditional functionally oriented information systems.
  3. Use an ERP system to manage a company.
  4. Explain basic concepts of utilizing analytics to generate business intelligence.
  5. Design and use tools to help analyze and interpret business data.
  6. Present professional oral and written reports analyzing the effectiveness of implementing business process transactions in an ERP simulation.

Module 4: Information Systems Analysis

  1. Work in a project-team setting.
  2. Perform all aspects of the SDLC planning phase.
  3. Perform all aspects of the SDLC analysis phase.
  4. Explain the benefits and limitations of the steps and deliverables used in information systems projects.
  5. Analyze the competitive advantage that IS projects can bring to an organization.
My SQL

Section 1: MYSQL Commands

  • MYSQL Select
  • MYSQL Distinct
  • MYSQL Where
  • MYSQL AND OR
  • MYSQL IN
  • MYSQL BETWEEN
  • MYSQL Wildcard
  • MYSQL LIKE
  • MYSQL ORDER BY
  • MYSQL GROUP BY
  • MYSQL HAVING
  • MYSQL ALIAS
  • MYSQL AS
  • MYSQL SELECT UNIQUE
  • MYSQL INNER JOIN
  • MYSQL OUTER JOIN
  • MYSQL LEFT OUTER JOIN
  • MYSQL CROSS JOIN
  • MYSQL INSERT INTO
  • MYSQL INSERT INTO SELECT
  • MYSQL UPDATAE
  • MYSQL DELECTE FROM

Section 2: MYSQL FUNCTIONS

  • MYSQL Average
  • MYSQL COUNT
  • MYSQL MAX
  • MYSQL MIN
  • MYSQL MAX
  • MYSQL SUM
  • MYSQL ROUND

 

Section 3: String Function

  • MYSQL CAST
  • MYSQL CONVERT
  • MYSQL CONCATENATE
  • MYSQL SUBSTRING
  • MYSQL INSTR
  • MYSQL TRIM
  • MYSQL LENGTH
  • MYSQL REPLACE
  • MYSQL TO_DATE

 

 

 Section 4: Date Functions

  • MYSQL DATEADD
  • MYSQL DATEDIFF
  • MYSQL DATEPART
  • MYSQL GETDATE
  • MYSQL SYSDATE

 

 

 Section 5: Date Definition Language (DDL)

  • MYSQL CREATE TABLE
  • MYSQL DATA TYPES
  • MYSQL VIEW
  • MYSQL CREATE VIEW
  • MYSQL INDEX
  • MYSQL CREATE INDEX
  • MYSQL DROP TABLE
  • MYSQL TRUNCATE TABLE
  • MYSQL USE
  • MYSQL CREATE DATABASE
  • MYSQL DROP DATABASE

Section 6: MYSQL CONSTRAINT

  • MYSQL NOT NULL
  • MYSQL DEFAULT
  • MYSQL UNIQUE
  • MYSQL CHECK
  • PRIMARY KEY
  • FOREIGN KEY

Section 7: MYSQL ALTER TABLE

  • Add Column
  • Modify Column
  • Drop Column
  • Add Index
  • Drop Index
  • Add Constraint
  • Drop Constraint

Section 8: MYSQL NULL

  • MYSQL ISNULL Function
  • MYSQL IFNULL Function
  • MYSQL NVL Function
  • MYSQL NULLIF Function

Section 9: Advanced MYSQL

  • MYSQL UNION
  • MYSQL UNION ALL
  • MYSQL Inline View
  • MYSQL INTERSECT
  • MYSQL MINUS
  • MYSQL LIMIT
  • MYSQL TOP
  • MYSQL Subquery
  • MYSQL EXISTS
  • MYSQL CASE
  • MYSQL AUTO INCREMENT
  • MYSQL INDENTITY
  • MYSQL SEQUENCE and NEXTVAL
MS-Power BI

Module 1: Introduction of Power Bi

1.1 Introduction to Business Intelligence (BI)
1.2 Stages of business intelligence (BI)
1.3 Use cases of BI
1.4 Various BI tools
1.5 Overview of Data warehouse & concepts
1.6 Introduction to Power BI
1.7 Why Power BI
1.8 Power BI Components
1.9 Power BI pricing structure
1.10 Building blocks of Power BI
1.11 Architecture of Power BI
1.12 Power BI vs Tableau vs QlikView
1.13 Introduction of Power BI Desktop
1.14 Installation of Power BI Desktop
1.15 The key features of Power BI workflow
1.16 Process of creating reports in Power BI

Module 2: Data Extraction

2.1 Overview of Power BI desktop
2.2 Data sources in Power BI
2.3 Using files (excel, pdf, csv, etc.) as a data source
2.4 Using SaaS connectors
2.5 Extracting data from folders, and databases
2.6 Working with Azure SQL database and database sources
2.7 Connecting to Analysis Services
2.8 Other data sources (OData, web, SharePoint etc.)
2.9 Python & R script in Power BI
2.10 Introduction of power query editor
2.11 Advance editor
2.12 Query dependency editor

Module 3: Data Transformation and Combining Data

3.1 Shaping data using Power Query Editor
3.2 Formatting data
3.3 Transformation of data
3.4 Understanding of Data types
3.5 Data profiling for data quality check
3.6 Naming conventions & best practices to consider
3.7 Working with Parameters
3.8 Merge Query
3.9 Append Query
3.10 Group by of data (aggregation of data)
3.11 Applied steps (query settings)
3.12 Duplicate & Reference tables
3.13 Transpose of data
3.14 Fill
3.15 Pivot & Un-pivot of data
3.16 Custom columns
3.17 Conditional columns
3.18 Replace data from the tables
3.19 Split columns values
3.20 Move columns & sorting of data
3.21 Detect data type, count rows & reverse rows
3.22 Promote rows as column headers
3.23 Hierarchies in Power BI
3.24 M query

Module 4: Data Modeling and Dax

4.1 Introduction of relationships
4.2 Creating relationships
4.3 Cardinality
4.4 Cross filter direction
4.5 Use of inactive relationships
4.6 Introduction of DAX
4.7 Why DAX is used
4.8 DAX syntax
4.9 DAX functions
4.10 Context in DAX
4.11 Calculated columns using DAX
4.12 Measures using DAX
4.13 Calculated tables using DAX
4.14 Learning about table, information, logical, text, iterator,
4.15 Time intelligence functions (YTD, QTD, MTD)
4.16 Cumulative values, calculated tables, and ranking and rank over groups
4.17 Date and time functions
4.18 DAX advanced features

Module 5: Data Visualization with analytics

5.1 Deep dive into Power BI data visualization
5.2 Understanding Power View and Power Map
5.3 Data visualization techniques
5.4 Page layout & Formatting
5.5 Power BI Desktop visualization
5.6 Formatting and customizing visuals
5.7 Visualization interaction
5.8 Custom visualization in Power BI
5.9 Top-down and bottom-up analytics
5.10 Drill down
5.11 Drill through
5.12 Page navigations
5.13 Bookmarks
5.14 Selection pane to show/hide visuals
5.15 Comparing volume and value-based analytics
5.16 Combinations charts (dual axis charts)
5.17 Filter pane
5.18 Slicers
5.19 Use of Hierarchies in drill down analysis
5.20 Theme for corporate standards
5.21 Power BI template for design reusability
5.22 Mastering the best practices
5.23 Performance analyzer in Power BI for monitoring performance of report
5.24 Power BI Q&A (Natural Language Query visual)
5.25 Sync slicers
5.26 Tooltips & custom tooltips
5.27 Tables & matrix
5.28 Conditional formatting on visuals
5.29 Waterfall chart, KPI, Donut chart, Scatter chart
5.30 Geographical data visualization using Maps

Module 6: POWER BI SERVICE (Cloud), Q & A and Data IISIGHTS

6.1 Introduction to Power BI Service
6.2 Introduction of workspaces
6.3 Dashboard
6.4 Creating & Configuring Dashboards
6.5 Dashboard theme
6.6 Reports vs Dashboards
6.7 Building workspace Apps
6.8 Sharing reports & dashboards
6.9 Introduction to Power Q & A
6.10 Ask questions about your data using Natural Query Language
6.11 Getting answers in the form of charts, graphs, and data discovery methodologies
6.12 Configure custom questions for Q&A like FAQ
6.13 Ad-hoc analytics building
6.14 Power Q&A best practices
6.15 Quick Insights
6.16 Subscribe, Alerts, Usage statics, Related content
6.17 Design reports on Power BI Service
6.18 Collaboration using Power BI Service
6.19 Row Level Security (RLS)
6.20 Introduction of Paginated Reports
6.21 Introduction of Power BI Report Server

Module 7: POWER BI SETTINGS, ADMINISTRATOR & DIRECT CONNECTIVITY

7.1 Getting to understand Power BI Desktop settings
7.2 Aggregating data from multiple data sources
7.3 Power BI Service settings
7.4 Power BI Admin Portal
7.5 Administration activities
7.6 Power BI usage analysis
7.7 Introduction of Office 365 admin activities
7.8 Introduction of Data Gateway
7.9 Installation & Configuration of data gateways
7.10 Scheduling auto data refresh
7.11 Managing groups, row-level security, datasets, reports, and dashboards
7.12 Real time data analysis using Direct Connectivity
7.13 Direct Query vs Import Mode

Module 8: EMBEDDED POWER BI WITH API AND POWER BI MOBILE

8.1 Introduction to embedded Power BI
8.2 Create embedded code
8.3 Manage embedded code
8.4 Integration of Power BI in SharePoint
8.5 Introduction of Power BI API
8.6 Power BI Embedded playground
8.7 Introduction to Power BI Mobile
8.8 Creating mobile based reports & dashboards
8.9 Optimizing report for Power BI mobile app
8.10 Features of Power BI mobile app
8.11 Introduction of integrating Power BI & Excel
8.12 Power BI Analyze in Excel

Module 9: POWER BI ADVANCE AND POWER BI PREMIUM

9.1 Introduction of Power BI Premium
9.2 Power BI Premium per user
9.3 Power BI Premium features
9.4 Introduction to Data Flow
9.5 Create Data Flow
9.6 Advantages of Data Flow
9.7 Create reports using Data Flow
9.8 Introduction to Power BI Deployment Pipelines
9.9 Create Deployment Pipelines
9.10 Benefits of Deployment Pipelines
9.11 Introduction of Sensitivity Labels
9.12 Introduction of Power BI Goals feature
9.13 Incremental data load in Power BI
9.14 Power BI best practice rules to improve performance

Tableau

Introduction and Overview
 • Why Tableau? Why Visualization?
• Level Setting – Terminology
• Getting Started – creating some powerful visualizations quickly
• The Tableau Product Line
• Things you should know about Tableau

Getting Started

• Connecting to Data and introduction to data source concept
• Working with data files versus database server
• Understanding the Tableau workspace
• Dimensions and Measures
• Using Show Me!
• Tour of Shelves (How shelves and marks work)
• Building Basic Views
• Help Menu and Samples
• Saving and sharing your work

Analysis

Creating Views
• Marks
• Size and Transparency
• Highlighting
• Working with Dates
• Date aggregations and date parts
• Discrete versus Continuous
• Dual Axis / Multiple Measures
• Combo Charts with different mark types
• Geographic Map Page Trails
• Heat Map
• Density Chart
• Scatter Plots
• Pie Charts and Bar Charts
• Small Multiples
• Working with aggregate versus disaggregate data
• Analyzing
• Sorting & Grouping
• Aliases
• Filtering and Quick Filters
• Cross-Tabs (Pivot Tables)
• Totals and Subtotals Drilling and Drill Through
• Aggregation and Disaggregation
• Percent of Total
• Working with Statistics and Trend lines

Getting Started with Calculated Fields

• Working with String Functions
• Basic Arithmetic Calculations
• Date Math
• Working with Totals
• Custom Aggregations
• Logic Statements

Formatting

• Options in Formatting your Visualization
• Working with Labels and Annotations
• Effective Use of Titles and Captions
• Introduction to Visual Best Practices

Building Interactive Dashboard

• Combining multiple visualizations into a dashboard
• Making your worksheet interactive by using actions and filters
• An Introduction to Best Practices in Visualization

why choose ielts first

Why Choose Coding Bytes as your Business Analytics Course Institute?

Coding Bytes provides the best online/Offline training for Business Analytics Course at its institute situated in Rohini, Delhi.

With the best infrastructure and high-tech technology, the project based Business Analytics Course training allows students and working professionals to gain hands-on experience to Learn Business Analytics Course.

  • We have 10+ years of experience in Programming language Training.
  • Our Industry expert Teachers are passionate to teach.
  • You’ll be more confident every single day than the day before while learning coding with Coding Bytes.
  • The Latest Curriculum, from Industry Experts.
  • High Engagement, Outcome-Centric Learning.
  • 100% Placement Assistance for everyone.
  • Life time support for queries & placement.

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Here are the key stakeholders focused on building our community. Our greatest strength is our team’s spirit & that will remain because a core of us come through the leagues together.