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  • Why data is the new gold, Data literacy -- What it is, Perspectives, roles, activities, insights, how to use it to solve problems, etc.
  • Data Fundamentals, Types, Characteristics, Categories, data based critical thinking, etc.
  • Data lifecycle, Operations, Transformations and many other critical concepts with live examples.
  • Data Terminology and Concepts
  • IT Terminology and Concepts

We are already in the digital revolution, a one-time transformation of every possible aspect of how companies, governments and how even we personally operate.


All working professionals irrespective of industry or role, will need Data, IT, Analytical and AI skills to survive and succeed during this and beyond.

Clearly the ones who understand and can use these skills well, will lead the pack with greater opportunities, higher pay packages, benefits and work flexibility.

These skills will be covered in a series of courses. In this course you will learn tool agnostic Data and IT skills on popular enterprise grade tools including Tableau and SAP Lumira

Why data is the new gold, Data literacy -- What it is, Perspectives, roles, activities, insights, how to use it to solve problems, etc.

Data Fundamentals, Types, Characteristics, Categories, data based critical thinking, etc.

Data lifecycle, Operations, Transformations and many other critical concepts with live examples.

Data Terminology and Concepts

IT Terminology and Concepts

Benefits

Enhance your profile and capabilities by acquiring tool agnostic Data and IT skills. You can apply the same concepts and methods across various tool sets, certifications and vendors.

Move from your existing role to a technology enabled role, which is all roles.

Build the foundation to acquire skills for the jobs of the future.

Start your journey to land IT jobs with premium salaries and benefits, Location independence, Flexible work rules

  • No prior knowledge required. You will learn everything required
  • All Business and Non IT working professional
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  • Section 1 : Data Literacy and why it is crucial for all working Professionals 13 Lectures 01:19:41

    • Lecture 1 :
    • Intro to the course layout Preview
    • Lecture 2 :
    • Why data is the new gold
    • Lecture 3 :
    • Why low code
    • Lecture 4 :
    • Data Literacy foundation
    • Lecture 5 :
    • Activities in Data Literacy lifecycle
    • Lecture 6 :
    • Different Data Literacy Levels
    • Lecture 7 :
    • Data Literacy in Technical and Business Domains
    • Lecture 8 :
    • Role of Data Literacy at different Stages
    • Lecture 9 :
    • Levels or Types of Analytics
    • Lecture 10 :
    • What is your Role in Building Analytics?
    • Lecture 11 :
    • Problem Solving Steps using Data
    • Lecture 12 :
    • Three main Non Technical Skills for Success
    • Lecture 13 :
    • 1.13 Thinking Datatically
  • Section 2 : Data fundamentals, Characteristics, Types, Categories of Data 7 Lectures 00:49:39

    • Lecture 1 :
    • What is Data
    • Lecture 2 :
    • Data from a Non Technical perspective
    • Lecture 3 :
    • Data Technical Types
    • Lecture 4 :
    • Data Categorization
    • Lecture 5 :
    • Data Characteristics - Format, Velocity, Volume, Methods of Extraction
    • Lecture 6 :
    • Data Characteristics - Residency, Access, Source Systems, Temperature
    • Lecture 7 :
    • What are Dimension and Measures ?
  • Section 3 : Data Sources, Owners, Reporting Requirements, Extraction and Preparation 10 Lectures 00:48:56

    • Lecture 1 :
    • Data Sources
    • Lecture 2 :
    • Data and Application Owners
    • Lecture 3 :
    • Data Mapping
    • Lecture 4 :
    • Reporting Project Requirement Phases
    • Lecture 5 :
    • Reporting Scenarios
    • Lecture 6 :
    • Types of Reporting Requirements
    • Lecture 7 :
    • Sample data - Lets see the real deal
    • Lecture 8 :
    • Data Extraction methods and Process
    • Lecture 9 :
    • Data Preparation layer
    • Lecture 10 :
    • End to End Data movement from Source to a Report
  • Section 4 : Data Operations and Processes in an Enterprise Reporting Life Cycle with Tableau 15 Lectures 01:59:49

    • Lecture 1 :
    • The life cycle of Data in an Enterprise
    • Lecture 2 :
    • Analyze Data set and Import to Tableau Public
    • Lecture 3 :
    • Slicing the Data(reducing rows) with Live examples
    • Lecture 4 :
    • Dicing the Data(reducing Columns) with Live examples
    • Lecture 5 :
    • Splitting a Column with Live examples
    • Lecture 6 :
    • Methods of combining data with Live examples
    • Lecture 7 :
    • Joins with Live examples
    • Lecture 8 :
    • Union with Live examples
    • Lecture 9 :
    • Cleaning Data duplicates, Nulls and more Theory
    • Lecture 10 :
    • Enrich Data
    • Lecture 11 :
    • Implement Business calculations with Live examples
    • Lecture 12 :
    • Aggregation with Live examples
    • Lecture 13 :
    • Ranking by state, product
    • Lecture 14 :
    • Hierarchies With level examples
    • Lecture 15 :
    • What is cube?
  • Section 5 : Data Terms and Concepts 12 Lectures 00:39:40

    • Lecture 1 :
    • 5.1 The life cycle of Data in an Enterprise
    • Lecture 2 :
    • 5.2 Data Wrangling
    • Lecture 3 :
    • 5.3 Data Massaging
    • Lecture 4 :
    • 5.4 Data Curator
    • Lecture 5 :
    • 5.5 Data Ethics and Security
    • Lecture 6 :
    • 5.6 Data Governance and Management
    • Lecture 7 :
    • 5.7 Data Masking and Anonymization
    • Lecture 8 :
    • 5.7 Live examples
    • Lecture 9 :
    • 5.8 What is a Data Warehouse
    • Lecture 10 :
    • 5.9 What is a Data Mart
    • Lecture 11 :
    • 5.10 What is a Data Lake
    • Lecture 12 :
    • 5.11 Hot, Warm and Cold Data
  • Section 6 : IT/Technology Terms and Concepts 13 Lectures 01:11:46

    • Lecture 1 :
    • 6.1 What is inside a Computer and Server
    • Lecture 2 :
    • 6.2 How are Enterprise Servers Different
    • Lecture 3 :
    • 6.3 What are Application, Web and Data Servers
    • Lecture 4 :
    • 6.4 What is a Hybrid environment (On premise and Cloud)
    • Lecture 5 :
    • 6.5 What are Development, Test and Production Environments
    • Lecture 6 :
    • 6.6 What is Hardware, Software and OS virtualization
    • Lecture 7 :
    • 6.7 What is a Use Case
    • Lecture 8 :
    • 6.8 What is Normalization
    • Lecture 9 :
    • 6.9 What is Denormalization
    • Lecture 10 :
    • 6.10 What are Primary and Foreign Keys
    • Lecture 11 :
    • 6.11 What is ETL
    • Lecture 12 :
    • 6.12 What is IoT Data
    • Lecture 13 :
    • 6.13 Wrap up data and IT
  • How do i access the course after purchase?

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  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
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