Data and IT Literacy fundamentals for Business and Non-IT Professionals

Learn Data, and IT Literacy Foundation Skills with live examples on three popular Enterprise Analytic Tools

Created by : Rated :4.7 10306 views

Last Updated: 2022-07-26 11:07:56 English Course Type: Self Learning

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

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

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