Data Science & Business Analytics Training | Insta Infotech, Vikaspuri, Delhi

At Insta Infotech in Vikaspuri, Delhi, our Data Science & Business Analytics program is designed to help you master the tools and techniques needed to turn data into actionable business insights.

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Overview

Unlock the power of data with our comprehensive Big Data and Business Analytics for Data Science Training Course. Designed for aspiring data scientists and business professionals, this course equips you with the skills and knowledge to analyze large datasets, uncover valuable insights, and make data-driven decisions.

Why Choose This Course?

Industry-Relevant Curriculum: Learn the latest tools and technologies used in big data and business analytics, including Hadoop, Spark, Python, R, and Tableau.
Hands-On Training: Gain practical experience with real-world datasets and case studies.
Expert Instructors: Learn from seasoned professionals with extensive experience in data science and analytics.
Career Opportunities: Enhance your employability and open doors to roles such as Data Scientist, Business Analyst, Big Data Engineer, and more.

What You Will Learn

Big Data Fundamentals: Understand the concepts of big data, its applications, and its significance in today's business environment.
Data Analytics Techniques: Master statistical and predictive analytics methods to interpret and visualize data effectively.
Tools and Platforms: Hands-on experience with tools like Python , Power BI ,Tableau , Apache Hadoop, Spark, SQL, and cloud platforms.
Machine Learning Basics: Learn the fundamentals of machine learning and how to apply algorithms to solve real-world problems.
Business Decision Making: Leverage analytics to support strategic decision-making and optimize business performance.

Who Should Enroll?

Aspiring data scientists looking to build a strong foundation in big data and analytics.
Business professionals seeking to enhance their decision-making skills using data.
IT professionals aiming to specialize in data science and big data technologies.
Students and graduates interested in pursuing a career in data science.

DATA ANALYTICS MODULE - I ADVANCED EXCEL

Excel Functions

Basic Excel Function
Mathematical Functions
Logical Functions
Text Functions
Statistical Functional
Relation Based Functions
Financial Functions
Date-Time Functions

Advance Paste Special Techniques

Paste Formulas, Paste Formats
Transpose Tables
Paste Validations

Pivot Tables Pivot Chart – Advance

Creating Simple Classic Pivot table
Basic and Advanced Value Field Setting
Calculated Field Calculated Items
Grouping based on numbers and Dates

Advanced Level Lookup Formulas

Vlookup with Match, Hlookup with Match.
Lookup from the Left,Mid Right Side of Data. (Lookup, Index and Match)
Vlookup Hlookup with Multiple Text Functions.
Creating Smooth user Interface Using lookup

Magic With Array Formulas:

What are the Array Formulas, Use of the Array Formulas?
Advanced Use of formulas with ArrayLookup functions.

Advanced Conditional Formatting and Filtering

Apply Auto-Formatting Conditional Formatting with Custom Data Formats and Validation
Create custom conditional formatting rules
Create conditional formatting rules that use formulas
Manage conditional formatting rules

Define Named Ranges and Objects

Manage Name cells Name data ranges
Name tables and Manage named ranges and objects.

Referencing Formulas

Absolute Referencing/ Relative Cell Referencing
Consolidating Data - With or Without Links
Trace the Precedents and Dependents

Adding Charts,Graphics to Worksheet

Work with Chart Styles,Layouts, Add Labels,Axis Options,Chart Title, Legends, Data-Labels
Insert Modifying Pictures, Group and Ungroup Data

Collaboration With Internal Or External Worksheets

Manage Document Properties, Sharing a Workbook, Track Changes, Accept/Reject Changes,
Mark as Final , Setting Printing Area with Margins, Headers and Footers Scaling.
AutoRecover Save Options, Save As Web Page Protecting Workbooks

Formatting, Data linking and Proofing

Object Linking and Embedding Hyper linking data, within sheet / workbook
Linking Updating links between workbooks application
Creating / Working with an Automatic / Manual Outline

Importing Exporting Data

Importing Exporting Data from Database / Text Files / Web
Changing External Data Range

Protecting Excel- Excel Security

File Level Protection
Workbook, Worksheet Protection

DATA ANALYTICS MODULE - II MIS DASHBOARD

Preparation of the Dashboards

Different of Kind of Advanced level of Dashboards
Use Formulas Like Offset, Match, Sumif, Sumifs many more to prepare the Dashboards
Use of Data Validation in Charting.
Use of Sparkline to your Sheet, Interactive Sparklines
Working with 2axis and 3axis charts.

Excel Dashboard - Planning Processing

Planning a Dashboard
Adding Dynamic Contents to Dashboard
Adding Tables and Charts to Dashboard

Slicers and Charts

Using SLICERS, Filter data with Slicers
Various Charts i.e. Bar Charts / Pie Charts / Line Charts
Manage Primary and Secondary Axis

Complex Charting

Being able to choose the appropriate type of chart for every occasion
Being able to integrate many charts into one
Utilize tools like conditional formatting charts and in-cell charts.
Being able to create dynamic and interactive charts

Data Reporting with Pivot Tables

Evaluate vast volumes of data with the help of Pivot tables and Data Reporting
Relationships, multiple-table pivots, grouping, slicers, measures (Power Pivot)

Worksheet / Workbook Operations Using Macro

Merge Split Worksheets using Macro VBA filters
Worksheet copiers
Merge multiple excel files into one-sheet

Pivot Table and Handling Of Errors In Excel

Split Pivot from the Multiple Source of Data using Multiple Field Setting in Pivot Table.
Split Pivot from the Multiple Data Ranges Name Range.
Creating Groups, Insert additional Calculated Field in Pivot Table.

Start-up with Pivot Charts With Slicer

Insert slicer in Pivot Table and Pivot charts.
Discussion of Errors and handling of multiple Errors Use of Tool “Error Checking”.
Removing Duplicates.
Trace Precedents, Trace Dependents.

Data Analysis Data Reporting

Managing Extracts ManagingMetadata Visua lAn.a lytics
Data Granularity using Marks Card
Highlighting
Sorting. Filtering. Grouping

Visual Analytics

Graphical Visualization
Forecasting Clustering Trend Lines.
Reference Lines. Parameters

Dashboard Stories

Introduct on to Dashboard. Creatinga Dashboard Layout. DesigningDashboard for Devices.
Dashboard Interaction - Using Action.
Introduct on to Story Point.

Mapping Publishing Reports

Introduct on to Maps.
Editing Unrecognized Locations. Custom Geocoding.
Polygon Maps.
Web Mapping Services . Background Images
Sharing Publishing Reports to BI Teams or Clients.

DATA ANALYTICS MODULE - III MYSQL

Introduction to MySQL

What is a database and why do we need SQL?
Create a link to Excel spreadsheet with MySQL?
Client/Server Concepts
Database models ER Model

Database and Database Objects

Import/Export
Tools for Import/Export Data
Restore database in SQL
A Data Generating Procedure

DData Definition using SQL

Databases
Data Types
Tables
Primary Keys
Null values and Not Null Values
Auto Increment
Basics Queries
Removing Duplicates
Data Filters Using Operators
Data Sorting
Constraints and Indexes
Views

Basic Data Manipulation using SQL

Recurring SQL Constructs
Adding data / Modifying data / Removing data / Searching data
Advanced Data Manipulation using SQL
Expressions for Grouping and Aggregate Functions
Joining Tables

Create Query

Use the Where clause
Conditional statements
Multiple conditions with Comparison Operators
Logic Values
Null Values
Compare Column Values
Advanced Queries
Distinct Values

Joins

Inner Join
Left Join
Full Outer Join
Filtering Grouped Da
Summarize Group Data
Pivot and Unpivot Operators

User Defined Functions

Functions vs Procedures
User-Defined Functions

MySQL Admin

Install and configure MySQL Server and client programs.
Recognize the key components of the MySQL architecture.
Secure your server.
Improve query performance.
Understand the benefits of MySQL Cloud.

DATA ANALYTICS MODULE - IV POWER BI

Introducing Power Bl

Install and configure MySQL Server and client programs.
Recognize the key components of the MySQL architecture.
Secure your server.
Improve query performance.
Understand the benefits of MySQL Cloud.

Working with Different Data Sources in Power BI

mporting from relational data sources and from databases
Importing from multi-dimensionaldata sources
Importing flat files from Excel and Sql Server
Importing Reports and data feeds from other data sources

Transforming Enhancing the Data Model in Power Query Editor

Understanding Power Query Editor
Understanding Power Query elements Viewing published models
Performing Row Column operations
Understanding table Create relationships between tables
Understanding data refresh Mode Working with relationships Module

Analyzing Data Implementing dashboards

Understanding Power BI data analysis
Understanding Pivot Table , Power Pivot Field List& Pivot Chart in Power Bi

Creating Reports M Language Functions

Data Operation and Manage Functions Using Parameters with M Language
Understanding Slicers Check Data quality
Handling metadata issue and Handling Errors
Working with dates, hierarchies, and perspectives

Data Analysis Expressions (DAX)

Understanding Data Analysis Expressions
Understanding row and filter context for Data Modeling
Creating and Applying DAX Expressio

Implementing Measures calculated columns and Tables

Understanding measures Understanding measure functions
Implementing measures and Kpls

Working With Report View User Interface

Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas Visual
Interactions - Interaction Type (Filter, Highlight, None)
Visual Interactions Default Behavior, Changing the Interaction

Basic Advanced Visualizations

Visualizing Data, Visualization types,
Create and Format Charts, Bar , Pie and Donut Charts ,Scatter Charts
Create and Format Table Visual, Matrix Visualization
Analyzing Data with Power View and Power Map

Power BI Service

Power BI Service Introduction, SIGN IN to Power BI Service Account
Publishing Reports Dataset, to the Power BI service,
Import / Getting the Report to PBI Service My Workspace

Interacting Dashboards Models

Pin Visuals and Pin LIVE Report Pages to Dashboard
Advantages of Dashboards, Interacting Formatting with Dashboards
Formatting Dashboard
Sharing Dashboard with Share Point Publishing

DATA ANALYTICS MODULE - V DATA REPORTING VISUALIZATION

Working with Data Analysis Expression

data structures, Control Conditional Statements
DAX concepts using objects and methods
Exception handling, Implementation of Pre-defined functions
DAX Expressions with date-time concepts

Data Filter Data Slicing

String, Lists, Tuple, Dictionaries
Str Data Type | Indexing | Slicing | Built-in functions
Append - Extend - Insert - | Update and Delete Operations
Storing and Accessing the data in Operations

Introduction to Data Analysis in POWER BI -Understanding and Preprocessing

Knowledge domains of Data Analysis
Understanding structured and unstructured data,
Data Analysis process, Dataset generation, Importing Dataset: Importing and Exporting
Data, Basic Insights from Dataset
Cleaning and Preparing the Data: Identify and Handle Missing Values.

Data Cleaning

Types of Missing Values
Imputing missing values with the business logic in a real-time scenario
Finding out Handling outliers from the data
Introduction to Replace and Drop level Function
Data Cleaning on Big Dataset Databases

Data Processing and Visualization

Data Formatting Conditional Formatting
Exploratory Data Analysis
Filtering and hierarchical indexing
Data Visualization: Basic Visualization Tools, Specialized Visualization Tools,

Creating and Plotting Visualization

Understanding and creating N-dimensional arrays,
Basic indexing and slicing, Boolean indexing, Fancy indexing,
Universal functions File input and output with arrays.
Data-Processing using arrays

Bookmarking

Applications of Probability in Real Time Databases
use of Static Normal bookmarking
understanding of Referential Statistics Data

Configuring Dashboard Visualization and Create Reports

Adding labels and custom line color. Multiple lines and line styling
Configuring the graph and charts
Custom legend and Trend Axis

Publishing and sharing Data on Web Powerbi App.

Data Web scrapping, Combing and merging data sets, Reshaping and pivoting
Publishing data online or Offline

Dahborad Model Development and Evaluation

Introduction to machine learning- Supervised and Unsupervised Learning,
Model development using Linear Regression, Report Visualization
Prediction and Decision Making Dynamic Dashboard
Model Evaluation: Over-fitting, Under-fitting and Model Selection.
Pin Dashboard Generate Final Data view with Dataset.

DATA ANALYTICS WITH TABLEAU MODULE - VI

Introduction of Tableau

Where to find data
Foundations for building Data Visualizations
Uses of Tableau Software Tool
Tableau Architecture & Server Components — Learn Architecture with Diagram

Installation & Configuration

Before install Configuration information
Setting up configuration and authentication
Configuring security Environment
Complete configuration
Install and configure server exercise

Tableau V/s. POWER-BI Difference & Advanced Settings

Tableau Data Connections to Databases & Multiple Sources — How to Connect
Types of Filters in Tableau — Condition by Formula, Extract, Context
Configuring additional servers
Groups in Tableau — Create Groups, Hierarchy, Sets & Sort Data
Tableau Charts & Graphs info — Types & Example.

Tableau Calculations

Creating custom calculations and fields
Applying new data calculations to your visualization

Creating Your First visualization

Getting started with Tableau Software
Using Data file formats
Connecting your Data to Tableau

Formatting Visualizations

Creating basic charts (line, bar charts, Treemaps)
Using the Show me panel

Working with Parameters

Creating parameters
Parameters in calculations
Using parameters with filters

Use Tableau to Analyze and Visualize Data to Respond Accordingly

Analyze, Blend, Join, and Calculate Data
Visualize Data in the Form of Various Charts, Plots, and Maps
Connect Tableau to a Variety of Datasets
Customizing filters

Working with Filters

Filters (addition and removal)
Filtering continuous dates, dimensions, and measures
Filtering in Tableau Types of filters Filtering the order of operations

Dashboards and Stories Dashboards and Stories

Building and formatting a dashboard using size, objects, views,
Making creative & interactive dashboards using the actions
Creating stories and Adding annotations with descriptions;
Highlight actions, URL actions, and filter actions

Distributing & Publishing Your Visualization

Publishing to Tableau Online
Sharing your visualization
Printing and exporting.

DATA ANALYTICS WITH PYTHON MODULE - VII

OVERVIEW TO PYTHON

What is Python
Why do we need PYTHON
Features – Dynamic, Interpreted, Object-oriented, Standard libraries, Open source
Python Different Versions & Comparison With other languages like C/C++, Java etc.