Certification on Data Literacy and Foundation

Enrolled : 129 students
Duration : 111 Mins
No. of Videos: 41
Categories: eLearning
Certification: Yes
Access:Lifetime
Type:Animated Video Series

In today's data-driven world, knowledge about data is essential for innovation and growth. Understanding the basics of data is as important as learning advanced data analysis techniques.

Our Data Literacy and Foundation course at Just 99 Rs consists of 8 insightful modules that provide an overview of:

•Data Basics: Explore the fundamental concepts of data and data types.

•The Importance of Data: Learn how data drives decision-making and business growth.

•Data Infrastructure: Understand the technology behind data storage and processing.

•Data Analysis Techniques: Learn to extract valuable insights from data.

•Data Visualization: Create compelling visualizations to communicate data effectively.

•The Future of Data: Explore emerging trends and technologies in the data world.

Whether you are a beginner looking to start your data science journey or a data professional seeking to enhance your skills, this affordable course (just ₹99) is the perfect starting point.

Certification on Data Literacy and Foundation

Certification on Data Literacy and Foundation

Course Features

1. Understanding Data

1.1 Understanding Data 1.4 Min

1.1 Understanding Data

1.2 Types of data 3.4 Min

1.2 Types of data

1.3 Data sources 3.3 Min

1.3 Data sources

1.4 Data Formats 2.0 Min

1.4 Data Formats

1.5 Data Schema Evolution 2.5 Min

1.5 Data Schema Evolution

1.6 Data Enrichment 2.5 Min

1.6 Data Enrichment

2.The Importance of Data

2.1 The Importance of Data 0.5 Min

2.1 The Importance of Data

2.2 Data-driven decision making process 2.2 Min

2.2 Data-driven decision making process

2.3 Data as a strategic asset 2.3 Min

2.3 Data as a strategic asset

2.4 Data challenges and opportunities 4.1 Min

2.4 Data challenges and opportunities

3.From Data to Information

3.1 From Data to Information 1.1 Min

3.1 From Data to Information

3.2 Data Governance 4.1 Min

3.2 Data Governance

3.3 Data collection methods 3.4 Min

3.3 Data collection methods

3.4 Data integration I 4.3 Min

3.4 Data integration I

3.5 Data integration II 2.0 Min

3.5 Data integration II

3.6 Data cleaning and preprocessing 4.3 Min

3.6 Data cleaning and preprocessing

4.Data Infrastructure

4.1 Data Infrastructure 2.5 Min

4.1 Data Infrastructure

4.2 Database management systems 5.0 Min

4.2 Database management systems

4.3 Data warehousing and data lakes I 3.4 Min

4.3 Data warehousing and data lakes I

4.4 Data warehousing and data lakes II 4.0 Min

4.4 Data warehousing and data lakes II

4.5 Cloud computing for data 3.3 Min

4.5 Cloud computing for data

4.6 Big Data Technologies 3.3 Min

4.6 Big Data Technologies

5.Data Analytics Techniques

5.1 Data Analytics Techniques 0.5 Min

5.1 Data Analytics Techniques

5.2 Descriptive statistics 2.5 Min

5.2 Descriptive statistics

5.3 Inferential statistics 3.1 Min

5.3 Inferential statistics

5.4 Data mining 3.1 Min

5.4 Data mining

6.Data Science Process

6.1 Data Science Process 3.5 Min

6.1 Data Science Process

6.2 Machine Learning 4.1 Min

6.2 Machine Learning

6.3 Data modeling 3.1 Min

6.3 Data modeling

6.4 Data Science Applications 3.1 Min

6.4 Data Science Applications

7.Data Visualization and Communication

7.1 Data Visualization and Communication 0.5 Min

7.1 Data Visualization and Communication

7.2 User-Centric Design 3.3 Min

7.2 User-Centric Design

7.3 Data visualization principles 2.2 Min

7.3 Data visualization principles

7.4 Storytelling with data 3.0 Min

7.4 Storytelling with data

7.5 Interactive data visualization 2.5 Min

7.5 Interactive data visualization