Data Anylytics course

This Data Analytics course is designed to provide participants with the skills and knowledge needed to analyze data effectively, extract insights, and make data-driven decisions. The course covers various tools and techniques used in data analytics, including data manipulation, visualization, statistical analysis, and machine learning.

  • 3 Months
  • English, Hindi, Marathi
  • (5 / 5 Rating)

Course Description

This Data Analytics course is designed to provide participants with the skills and knowledge needed to analyze data effectively, extract insights, and make data-driven decisions. The course covers various tools and techniques used in data analytics, including data manipulation, visualization, statistical analysis, and machine learning.

Who can do?

  • Students and Recent Graduates
  • IT Professionals
  • Business Professionals
  • Job Opportunities

    • Data Analytics
    • Business Analyst
    • Data Scientist
    • Quantitative Analyst
    • Marketing Analyst
    • Operations Analyst
    • Financial Analyst

    Course Curriculum

    • Counting, Probability,and Probability Distributions
    • Sampling Distributions
    • Estimation and Hypothesis Testing
    • Scatter Diagram
    • Anovaand Chisquare
    • Anovaand Chisquare
    • Imputation Techniques
    • Data Cleaning
    • Correlation and Regression

    Introduction to Data Analytics

    • Data Analytics Overview
    • Importance of Data Analytics
    • Types of Data Analytics
    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Benefits of Data Analytics
    • Data Visualization for Decision Making
    • DataTypes, Measure Of centraltendency,Measures of Dispersion
    • Graphical Techniques, Skewness & Kurtosis,Box Plot
    • DescriptiveStats
    • Sampling Funnel,Sampling Variation,Central LimitTheorem,Confidence interval

    • Excel tutorial
    • Text to Columns
    • Concatenate
    • The Concatenate Function
    • The Right Function with Concatenation
    • The Right Function with Concatenation
    • Absolute Cell References
    • Data Validation
    • Time and Date Calculations
    • Conditional Formatting
    • Exploring Styles and Clearing Formatting
    • Using Conditional Formatting to Hide Cells
    • Usingthe IF Function
    • Changing the “Value if false ”Condition to Text
    • Pivot Tables
    • Creating a Pivot Table
    • Specifying Pivot Table Data
    • Changing a Pivot Tables Calculation
    • Filtering and Sorting a PivotTable
    • Creating a PivotChart
    • Grouping Items
    • Updating a PivotTable
    • Formatting a PivotTable
    • Using Slicers
    • Charts
    • Creating a SimpleChart
    • Charting Non-Adjacent Cells
    • Creating a Chart Using the Chart Wizard
    • Modifying Charts
    • Moving an Embedded Chart
    • Sizing an Embedded Chart
    • Changing the ChartType
    • ChartTypes
    • Changing the Way Data is Displayed
    • Moving the Legend
    • Formatting Charts
    • Adding Chart Items
    • Formatting All Text
    • Formatting and Aligning Numbers
    • Formatting the Plot Area
    • Formatting Data Markers
    • PieCharts
    • Creating a PieChart
    • Moving the PieChart to its OwnSheet
    • Adding Data Labels
    • Exploding a Slice of a PieChart
    • Data Analysis−Overview
    • types of Data Analysis
    • Data Analysis Process
    • Working with RangeNames
    • Copying Name using Formula Autocomplete
    • Range Name Syntax Rules
    • Creating Range Names
    • CreatingNamesforConstants
    • Managing Names
    • Scope of a Name
    • Editing Names
    • Applying Names
    • Using Names in a Formula
    • ViewingNamesinaWorkbook
    • Copying Formula swith Names
    • Difference between Tables and Ranges
    • Create Table
    • Table Name
    • Managing Names in a Table
    • Table Headers replacing Column Letters
    • Propagation of a Formula in aTable
    • Resize Table
    • Remove Duplicates
    • Convert to Range
    • Table Style Options
    • Table Styles
    • Cleaning Data with Text Functions
    • Removing Unwanted Characters from Text
    • Extracting Data Values from Text
    • Formatting Data with Text Functions
    • Date Formats
    • Conditional Formatting
    • Sorting
    • Filtering
    • Lookup Functions
    • Pivoting

    • Introduction to Oracle Database
    • Retrieve Data using the SQL SELECT Statement
    • Learn to Restrict and Sort Data
    • Usage of Single-Row Functions to Customize Output
    • Invoke Conversion Functions and Conditional Expressions
    • Aggregate Data Using the Group Functions
    • Display Data from Multiple Tables Using Joins
    • Use Sub-Queries to SolveQueries
    • The SET Operators
    • Data Manipulation Statements
    • Use of DDL Statements to Create and Manage Tables
    • Other Schema Objects
    • Control UserAccess
    • Management of Schema Objects
    • Manage Objects with Data Dictionary Views
    • Manipulate Large DataSets
    • Data Management in Different Time Zones
    • Retrieve Data Using Sub-queries
    • RegularExpressionSupport

    Tableau

    • Start Page
    • Show Me
    • Connecting to Excel Files
    • Connecting to Text Files
    • Connect to Microsoft SQLServer
    • Connecting to Microsoft Analysis Services
    • Creating and Removing Hierarchies
    • Bins
    • Joining Tables
    • Data Blending

    • Parameters
    • Grouping Example1
    • Grouping Example2
    • Edit Groups
    • Set
    • Combined Sets
    • Creating a FirstReport
    • Data Labels
    • Create Folders
    • Sorting Data
    • Add Totals, SubTotals and Grand Totals to Report

    • Area Chart
    • Bar Chart
    • Box Plot
    • Bubble Chart
    • Bump Chart
    • Bullet Graph
    • Circle Views
    • Dual Combination Chart
    • DualLines Chart
    • Funnel Chart
    • Traditional Funnel Charts
    • Gantt Chart
    • Grouped Baror Side by SideBars Chart
    • Heatmap
    • High light Table
    • Histogram
    • Cumulative Histogram
    • Line Chart
    • Lolli pop Chart
    • Pare to Chart
    • PieChart
    • Scatter Plot
    • Stacked Bar Chart
    • Text Label
    • Tree Map
    • Word Cloud
    • Water fall Chart

    • Dual Axis Reports
    • Blended Axis
    • Individual Axis
    • Add Reference Lines
    • Reference Bands
    • Reference Distributions
    • Basic Maps
    • Symbol Map
    • Use Google Maps
    • Map box Maps as a Background Map
    • WMS Server Map as a Background Map

    • Calculated Fields
    • Basic Approach to Calculate Rank
    • Advanced Approach to Calculate Ra
    • Calculating Running Total
    • Filters Introduction
    • Quick Filters
    • Filterson Dimensions
    • Conditional Filters
    • TopandBottom Filters
    • Filterson Measures
    • Context Filters
    • Slicing Fliters
    • DataSource Filters
    • Extract Filters

    • Create a Dashboard
    • Format Dashboard Layout
    • Createa Device Preview of a Dashboard
    • Create Filters on Dashboard
    • Dashboard Objects
    • Create a Story

    Module7: Server

    • tableau online.
    • Overview of Tableau Server.
    • Publishing Tableau objects and scheduling / subscription.

    Power BI

    Module1: Introduction to Power BI

  • Get Startedwith Power BI
  • Overview: PowerBIconcepts
  • Signup for PowerBI
  • Overview: Power BI data sources
  • Connecttoa SaaS solution
  • Upload a local CSV file
  • Connect to Excel data that can be refreshed
  • Connect to asample
  • Createa Report with Visualizations
  • Explore the Power BI portal
    • The print statement
    • Comments
    • Python DataStructures & DataTypes
    • String Operations in Python
    • Simple Input & Output
    • Simple Output Formatting
    • Deep copy
    • Shallow copy
    • Operators in python

    • What is multithreading?
    • Difference between a Process and Thread
    • Concurrent Programming and GIL
    • Uses of Thread
    • Starting a New Thread
    • The Threading Module
    • Thread Synchronization
    • Locks
    • Semaphore
    • Deadlock of Threads
    • Avoiding Deadlocks
    • Daemon Threads
    • Using Databases in Python
    • Python MySQL Database Access
    • Install the MySQLdb and other Packages
    • Create Database Connection
    • CREATE, INSERT, READ Operation
    • DML and DDL Oepration with Databases
    • Web Scraping in Python