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  • Detailed understanding of how to create databases, clean the data collate them, join the tables for queries, carry out derived calculations, summarize data for complex views and make it ready for any Data Science or Business Analytics applications with SQL.
  • Powerful summarizing, formatting, reporting and graphical representation capabilities imposing Visual dashboards to convert data to insights for better decision making along with scenario
  • Statistical analysis and Modeling complex business critical data using basic Excel features.
  • Visual Analytics comprising of Drag and drop Calculations, Analytics, Instant trend lines, reference lines, Interactive Table calculation and editing, Geographical search and Lasso selection.
  • Writing adhoc queries and build structured and unstructured reports including dynamic sorting and filter options and publishing the visualized data from dashboards for the consumers of information as results of analyzed data across the organization using Tableau.
  • Experience sharing by industry experts form different business sectors 
  • Important skills for Fresher’s and working professionals to enhance their careers
  • Membership to KJA–KAALP Job Assistance program

120+ hours

Online sessions

Practice Datasets

& Case Studies

40+

Quizzes

Learn Anywhere

Anytime

Industry

Relevant

Webinars by

Industry Experts

Certification

by Kaalp

120+ hours Online Sessions

Practice Datasets & Case Studies

40+ Quizzes

Learn Anywhere Anytime

Industry Relevant

Webinars by Industry Experts

Certification by Kaalp

This course on Business Analytics and Visualization with SQL, Excel and Tableau is an excellent course for those who wish to acquire good skills in Business Analytics covering data management, dashboards and visualization and also carrying out Business analytics.

While course on SQL provides a solid foundation of programming language covering the concepts oo how to create and maintain database objects, store, retrieve and manipulate data using advanced techniques.SQL will allow you to collate summarize & organize data in tables for future Business Analytics use.

Excel is an efficient reporting tool for any business decision making. From this course you will gain a in-depth understanding of basic and advanced features of Excel for data cleaning, data preparation, manipulation and analysis of data, reporting and graphical presentation. You will learn to use Excel for what if scenario analysis and business intelligence. You will gain skills in graphical reporting using tables, graphs and charts and creating visual dashboards.Excel will also enable you to gather knowledge on inbuilt statistical functions for Business Analytics.

Tableau is used as a data science and business intelligence application software & is known for its flexible intuitive & interactive visualization in order to get effective business insights. Tableau software has a real-time visual analytics capabilities and supports cloud as well. The benefits of using Tableau software are its flexibility to explore data with its advanced visualization feature, drill up or down across multiple dimensions of business, make ad-hoc queries and report on business critical areas.
Students from any discipline who are looking for better opportunities in the analytics domain. ​
Business professionals who wish to learn data management and business analytics. ​
Database developers, administrators and ITES professionals who wish to use SQL and Excel for data management and analytics ​
  • This course will make you ready to understand the various SQL functionalities and the necessary programming skills for Data Science applications
  • It will master fetching data from multiple sources and summaries in tables in the database for Analytics implementations
  • Build technical skills to master SQL features like Joins, unions along with Advanced SQL techniques such as managing multiple tables , complex queries like - sub queries, coalesce, case statement, having and many more.
  • Make one capable Format worksheets using different options, rows and column controls, auto-fill and auto sum, use formulae, mathematical functions.
  • Learn & implement with editing features, filtering and sorting, printing setup and artistic effect as well as advanced features such as using functions, formulae, slicers, creating pivot tables and working with advanced ‘if’ conditions.
  • Represent business data with tables and different kinds of charts and graphs, and understanding the use of statistical techniques in Excel.
  • Build capacity to create Interactive dashboards ad hoc query and reporting critical for any business with Tableau
  • Master skills to carry out Intuitive data visualization for effective decision making and Publish the analyzed data either locally or on the cloud
  • Perfect on applying Visual analytics comprising of Drag and drop calculations, Analytics, reference and trend lines, interactive tables, geography search and lasso selection features
  • This course enables to perform data preparation in SQL database while carrying out simple reporting, dashboards, business analytics with Excel and learn to execute advanced visualization with Tableau.
Any previous knowledge of programming skill would suffice. Familiarity with any other packaged software or spreadsheet would be of help.

Description

This course on Business Analytics and Visualization with SQL, Excel and Tableau is an excellent course for those who wish to acquire good skills in Business Analytics covering data management, dashboards and visualization and also carrying out Business analytics.
While course on SQL provides a solid foundation of programming language covering the concepts oo how to create and maintain database objects, store, retrieve and manipulate data using advanced techniques.SQL will allow you to collate summarize & organize data in tables for future Business Analytics use.
Excel is an efficient reporting tool for any business decision making. From this course you will gain a in-depth understanding of basic and advanced features of Excel for data cleaning, data preparation, manipulation and analysis of data, reporting and graphical presentation. You will learn to use Excel for what if scenario analysis and business intelligence. You will gain skills in graphical reporting using tables, graphs and charts and creating visual dashboards.Excel will also enable you to gather knowledge on inbuilt statistical functions for Business Analytics.
Tableau is used as a data science and business intelligence application software & is known for its flexible intuitive & interactive visualization in order to get effective business insights. Tableau software has a real-time visual analytics capabilities and supports cloud as well. The benefits of using Tableau software are its flexibility to explore data with its advanced visualization feature, drill up or down across multiple dimensions of business, make ad-hoc queries and report on business critical areas.

Who Should Attend?

Students from any discipline who are looking for better opportunities in the analytics domain. ​

Business professionals who wish to learn data management and business analytics. ​

Database developers, administrators and ITES professionals who wish to use SQL and Excel for data management and analytics ​

WHAT YOU WILL LEARN

  • This course will make you ready to understand the various SQL functionalities and the necessary programming skills for Data Science applications
  • It will master fetching data from multiple sources and summaries in tables in the database for Analytics implementations
  • Build technical skills to master SQL features like Joins, unions along with Advanced SQL techniques such as managing multiple tables , complex queries like - sub queries, coalesce, case statement, having and many more.
  • Make one capable Format worksheets using different options, rows and column controls, auto-fill and auto sum, use formulae, mathematical functions.
  • Learn & implement with editing features, filtering and sorting, printing setup and artistic effect as well as advanced features such as using functions, formulae, slicers, creating pivot tables and working with advanced ‘if’ conditions.
  • Represent business data with tables and different kinds of charts and graphs, and understanding the use of statistical techniques in Excel.
  • Build capacity to create Interactive dashboards ad hoc query and reporting critical for any business with Tableau
  • Master skills to carry out Intuitive data visualization for effective decision making and Publish the analyzed data either locally or on the cloud
  • Perfect on applying Visual analytics comprising of Drag and drop calculations, Analytics, reference and trend lines, interactive tables, geography search and lasso selection features
  • This course enables to perform data preparation in SQL database while carrying out simple reporting, dashboards, business analytics with Excel and learn to execute advanced visualization with Tableau.

PREREQUISITES

Any previous knowledge of programming skill would suffice. Familiarity with any other packaged software or spreadsheet would be of help.

Curriculum

SQL Curriculum

This section gives a high level introduction to SQL and lays the foundation for the various features of SQL.
  • Introducttion to SQL
  • Different Commands like DDL, DML, DCL
  • Data and Database Objects
  • Schema
This section covers a very important element in relational databases and flat file databases namely Tables. This section also covers about the various operations that can be performed on table
  • What is a Table
  • Update, Drop and Delete Table Using SQL
This section covers the various operations and functions available in SQL to query the data from the database.
1)Data and column selection
  • selecting a Sample
  • Selecting Top Rows
Section covers various editing   options
  • Add & Rename Column
  • Cast and Case Statement
  • SQL to Date
  • SQL Distinct
  • Where Clause
  • In Function
  • Between Function
  • Alias
  • CONCATENATE
  • TRIM
  • LENGTH
  • LIKE
This section covers the various types of joins to assemble the base data from multiple tables.
  • SQL Inner Join and Outer Join
  • Left Join and Right Join
Advance SQL Joins
  • Cross Join
  • Union and Union All
This section covers a wide variety of functions which are useful while querying data from database.
  • SQL Minus
  • Coalesce
The chapters cover some of the useful mathematical operators
  • Average, Count, subtraction, Multiplication, Division
  • Max, Min, Sum, Round
This section covers the various functions used to summarize complex data into useful business decisions.
  • Group by Clause
  • Having Clause
  • SQL null Function
  • Sub-Query
  • Convert
  • Substring
  • In string

Excel Curriculum

The following topics provides an overview of excel and introduces to the different features of excel
  • Different versions of Excel
  • Introduction to Spreadsheets & Basic Spreadsheet Skills
  • Starting to work with Excel
  • Types of data
  • Placing Cell Alignment & its functionalities
  • Excel Help System.
  • Short Cut Keys.
The below mentioned topics covers the basics of Excel and illustrates how to use a Excel Workbook.
  • Opening & Closing Workbooks.
  • Page Layout & its Functionalities.
  • Understanding Workbook File Formats.
The following topics cover formatting, file handling and other useful features of a spreadsheet.
  • Selecting Cells
  • How to Insert Row & Column
  • How to play with Sheet
  • Importance of Cell Referencing
  • Formatting Number & Cell.
  • Editing, Copying & Moving cells
  • Proofing
  • Find & Replace
  • Sum, Average & Range
  • Count & Count A functionality & difference
  • Auto Sum & Auto Fill Function
  • Add Comments
The below mentioned topics gives an overview of built in functions in excel.
  • Truncate Function
  • Features of each menu in Ribbons & Toolbars
  • Trim, Round, Transpose – Functionalities
  • Uses of Lower, Upper, Proper functions
  • Concatenation
  • Match Index
  • IS Error
  • IS Number.
The chapter introduces how to manipulate data with Excel
  • Freeze Headers
  • Filtering & Sorting.
  • Remove Duplicates & Listing Options
  • VLOOKUP’s
  • HLOOKUP’s
  • Formula Auditing and Error Tracing
  • Subtotals and Grouping.
This section gives an overview of the summarizing and reporting in Excel.
  • Pivot Tables
    • Filtering and Sorting a PivotTable
    • Changing a PivotTables Calculation
    • Updating a PivotTable
  • Pivot Slicers
This module covers visualization and graphical features in excel
  • Understanding chart layout elements
  • Adding a chart title & axes titles
  • Positioning the legend
  • Showing data labels & data table
  • Modifying the axis & Formatting the plot area
  • Drawing shapes in a chart.
This module covers very useful conditional statements in excel.
  • Hyperlinks in Excel
  • IF Conditions
  • Sum IF
  • Average IF
  • Count IF
  • Creating the AND function within an IF
  • Creating the OR function within an IF statement
  • The NOT function.

This chapter introduces to the statistical techniques that can be used with Excel like descriptive statistics, test of hypothesis & relationship between variables.

Tableau Curriculum

This section gives a high level overview of Business Intelligence and its application.
  • Dashboards,
  • Reporting
  • Visualizations
  • Data Preparation
  • Modern Data Warehousing
  • Self-Service Business Analytics
  • Big Data & Advanced Analytics
  • Planning & Forecasting Systems
This chapters covers an introduction to Tableau and its salient features.
  • About Tableau
  • Why Tableau?
  • Tableau reporting architecture
  • Tableau Products
This section covers the different data types in Tableau.
  • Measures & Dimensions
  • Continuous & Discrete data
The following topics covers various operations in Tableau used for creating dashboards.
  • Dashboards
  • Reporting
  • Visualizations
  • Filter
  • Sort
  • Colours
  • Size
  • Label
  • Detail
Advanced features for creating dashboards in Tableau.  
  • Options In Tableau
  • Worksheets and Dashboards
  • Customizing Filters
  • Filter Actions & Functionalities
  • Row Shelf & Column Shelf
  • Marks cards
  • Tooltip, Path, Sets
  • Creating Parameters & Using Parameters
  • Groups
  • Calculated Columns
The chapters broadly details on  the various types of graphs used to summarize the data in Tableau.
  • Pie Charts , Bar Charts, Stacked bar charts, Dual lines
  • Highlight tables
  • Heat maps, Symbol maps, Tree maps, Filled Maps
  • Circle views & Histogram
  • Area Charts – (Continues & Discrete)
  • Combination charts, Scatter Plots & Box Plots
  • Gantt charts, Bullet Charts, Packed bubble charts
This section discusses the various formatting and data munging tools in Tableau.
  • Building Dashboards
  • Trend Lines & Forecasting
  • Reference Bands & Lines
  • Show Missing Values & Handling Null Values
  • Legend Highlighting & Layout Containers
  • Visually Grouping Data
  • Table Calculations
  • Computing Totals
  • Formatting & Annotating
  • Tiling & floating dashboards
  • Tableau Server & Sharing Server views

Preview

Level 1

Level 2

Level 1

Level 2

Level 1

Level 2

Testimonials

I completed the Introduction to Business Analytics training course conducted by Kaalp Consulting. The course material was easy to understand and I got hands on experience to practice the software commands. The instructors had good knowledge and gave us practical tips on application of analytics in problem solving. I was very satisfied with the training course.
BBA Student, Bangalore
Kaalp Consulting conducted a training program in R Programming for our institute. The course material is very extensive and well designed. The instructors were working professionals who have good experience in using R in business analytics. They explained the topics extremely well and gave us a good practical understanding on how R is used in real life scenarios. We very satisfied with the course and highly recommend it to others.
Lecturer and Trainer, Trichy.

Kaalp Consulting conducted a course on Introduction to Business Analytics with SQL, Excel and Tableau for our B.Com and BBA students. We were very pleased with the manner in which the courses were presented by their instructors who are industry professionals. The instructors explained the topics very well and shared their practical experience on how the business analytics is applied in real life. The course content is well designed and the program was managed very professionally by Kaalp Consulting. We have no hesitation in recommending them to any institution or individual who are interested in joining their training courses

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