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Data Analytics Training

SK, LLC provides services in complete Software Development Life Cycle (SDLC) starting from requirement gathering, analysis as per client need, the design, technical documentation, coding, testing and ongoing support. SK has a team of subject knowledge experts working in the industry with trending technical skills like Service now, Selenium, QA, Tableau, Power BI and Industry standards like ITIL setup knowledge. We partner with companies and individuals to address their unique needs, providing training and coaching that helps everyone to achieve their career goals.

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Level

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Duration

15.3 hours

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Lectures

124 lectures

Course Prerequisites

About Course

Designed to meet the industry benchmarks, Data Analytics Training is curated by top industry experts. This course is created to help you gain expertise in the Data Analytics. You will also master the about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. Enroll now to become a Data Analyst expert with SK IT Software Solutions.

Curriculum

124 Lessons

  • What is BI?

    Why we need BI

    What is Power BI?

    Installation of Power BI

    Components of Power BI Desktop

    Types of Data Loading

    Import Mode

    Direct Query Mode

    Import vs Direct Query Mode

    Composite Models

    Most Commonly Used Data Sources

    Excel

    Text / CSV

    SQL Server /Oracle

    SSAS (Analysis Service)

    SharePoint List / Online / Folder

    Folder

    Other Data Sources

  • Remove Columns

    First Row Header

    Duplicate Columns

    Split Columns

    Remove Duplicate

    Replace Value

    Change Data Type

    Group BY

    Formatting data

    Add Custom Columns

    Invoke Function

    Append Queries

    Merge Queries

    Combine Files(Folder)

    Parameter

  • Introduction to Data Modeling

    What is Data Model

    Relationships in Power BI - One to One, One to Many, Many to Many

    Tables and Relationship

    Grouping / Binning

    Drill Through Reports

    What IF Parameter

    Bidirectional filters

  • Visualization types

    Custom visuals

    Creating power BI Visuals

    Bar Chart and Line Chart

    Combining charts

    Adding slicers for filters

    Tabular data /Matrix

    Cards / Multi Cards

    Categorical data

    Categorical and Trends Data Together (Combo)

    Geographical Data and Maps

    Filters

    Bidirectional filters

  • What is Power BI SERVICE?

    Free Vs Pro Vs Premium

    App workspace

    What is Report Server

    Power BI Q&A

    Bookmarks

    Deploying/Publishing Power BI Report

    Creating and sharing dashboard

    Mobile Power BI Overview

    Designing the reports and Dashboard for Mobile

    Interacting with Mobile Power BI App

  • Introduction to DAX

    Calculated Columns

    Calculated Tables

    Calculated Measures

    Calculated Columns vs Measures

    Evaluation Contexts

    Aggregated Functions

    Relate Functions

    Iterative Functions

    Variables

    Logical functions

    Table Functions

    Handling Blanks

    Rank Functions

    Date Functions

    Calendar Functions

    Time Intelligence functions

    SEMI ADDITIVE

  • Download and Install Tableau

    Load Data from Excel

    User Interface of Tableau

    Dimensions vs. Measures

    Application of Discrete and Continuous Fields

  • Bar Chart

    Stacked Bar Chart

    Line Chart

    Scatter Plot

    Dual-Axis Charts

    Combined-Axis Charts

    Funnel Chart

    Cross Tabs

    Highlight Tables

    Maps

    Measure Names and Measure Values

    Filters in Tableau

    Dimension Filter

    Date Filter

    Measure Filter

    Visual filter

    Interactive Filter

    Data Source Filter

    Context Filter

  • Dashboards in Tableau

    Dashboard

    Working with Layout

    Objects in Dashboard

    Making Dashboards Interactive

    Story

  • Level of Details

    Introduction to Level of Detail (LODs)

    Fixed LOD

    Include LOD

    Exclude LOD

  • Project 1: Comparative Study of Countries

    Project 2: Sales Performance Analysis

    Project 3: Customer Analysis

    Project 4: Product Analysis

    Project 5: Sales Dashboard

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