Data Analytics Skills you will learn

  • Types of data analytics
  • Frequency distribution plots
  • Swarm plots
  • Data visualization
  • Data science methodologies
  • Analytics adoption frameworks
  • Trends in data analytics

Who should learn this free Data Analytics course?

  • Business or Data Analyst
  • Analytics Managers
  • Mid Level Managers
  • CXO

What you will learn in this free Data Analytics course?

  • Introduction to Data Analytics

    • Lesson 1 - Course Introduction

      02:09
      • 1.01 Course Introduction
        02:09

    • Lesson 2 - Data Analytics Overview

      23:10
      • 2.01 Introduction
        00:35
      • 2.02 Data Analytics - Importance
        00:46
      • 2.03 Digital Analytics: Impact on Accounting
        03:08
      • 2.04 Data Analytics Overview
        02:33
      • 2.05 Types of Data Analytics
        00:42
      • 2.06 Descriptive Analytics
        00:57
      • 2.07 Diagnostic Analytics
        01:14
      • 2.08 Predictive Analytics
        01:16
      • 2.09 Prescriptive Analytics
        01:17
      • 2.10 Data Analytics - Amazon Example
        01:18
      • 2.11 Data Analytics Benefits Decision-Making
        01:27
      • 2.12 Data Analytics Benefits: Cost Reduction
        03:30
      • 2.13 Data Analytics Benefits: Amazon Example
        02:21
      • 2.14 Data Analytics: Other Benefits
        01:28
      • 2.15 Key Takeaways
        00:38

    • Lesson 3 - Dealing with Different Types of Data

      16:03
      • 3.1 Introduction
        00:29
      • 3.2 Terminologies in Data Analytics - Part One
        02:39
      • 3.3 Terminologies in Data Analytics - Part Two
        01:19
      • 3.4 Types of Data
        02:22
      • 3.5 Qualitative and Quantitative Data
        02:41
      • 3.6 Data Levels of Measurement
        02:56
      • 3.7 Normal Distribution of Data
        00:45
      • 3.8 Statistical Parameters
        02:35
      • 3.09 Key Takeaways
        00:17

    • Lesson 4 - Data Visualization for Decision making

      26:18
      • 4.1 Introduction
        00:25
      • 4.2 Data Visualization
        01:03
      • 4.3 Understanding Data Visualization
        02:57
      • 4.4 Commonly Used Visualizations
        02:27
      • 4.5 Frequency Distribution Plot
        01:35
      • 4.6 Swarm Plot
        01:23
      • 4.7 Importance of Data Visualization
        01:59
      • 4.8 Data Visualization Tools - Part One
        02:21
      • 4.9 Data Visualization Tools - Part Two
        01:49
      • 4.10 Languages and Libraries in Data Visualization
        02:09
      • 4.11 Dashboard Based Visualization
        03:01
      • 4.12 BI and Visualization Trends
        03:38
      • 4.13 BI Software Challenges
        01:01
      • 4.14 Key Takeaways
        00:30

    • Lesson 5 - Data Science, Data Analytics, and Machine Learning

      17:25
      • 5.01 Introduction
        00:27
      • 5.02 The Data Science Domain
        01:25
      • 5.03 Data Science, Data Analytics, and Machine Learning - Overlaps
        01:25
      • 5.04 Data Science Demystified
        02:50
      • 5.05 Data Science and Business Strategy
        02:18
      • 5.06 Successful Companies Using Data Science
        02:58
      • 5.7 Travel Industry
        01:16
      • 5.8 Retail
        00:47
      • 5.09 E-commerce and Crime agencies
        02:04
      • 5.10 Analytical Platforms across Industries
        01:23
      • 5.11 Key Takeaways
        00:32

    • Lesson 6 - Data Science Methodology

      09:15
      • 6.01 Introduction
        00:26
      • 6.02 Data Science Methodology
        01:20
      • 6.03 From Business Understanding to Analytic Approach
        01:02
      • 6.04 From Requirements to Collection
        01:06
      • 6.05 From Understanding to Preparation
        01:10
      • 6.06 From Modeling to Evaluation
        01:53
      • 6.07 From Deployment to Feedback
        01:52
      • 6.08 Key Takeaways
        00:26

    • Lesson 7 - Data Analytics in Different Sectors

      22:18
      • 7.01 Introduction
        00:33
      • 7.02 Analytics for Products or Services
        01:53
      • 7.03 How Google Uses Analytics
        02:30
      • 7.4 How LinkedIn Uses Analytics
        00:37
      • 7.05 How Amazon Uses Analytics
        02:03
      • 7.6 Netflix- Using Analytics to Drive Engagement
        00:56
      • 7.7 Netflix- Using Analytics to Drive Success
        02:49
      • 7.08 Media and Entertainment Industry
        01:10
      • 7.09 Education Industry
        02:57
      • 7.10 Healthcare Industry
        01:39
      • 7.11 Government
        02:31
      • 7.12 Weather Forecasting
        02:21
      • 7.13 Key Takeaways
        00:19

    • Lesson 8 - Analytics Framework and Latest trends

      13:00
      • 8.1 Introduction
        00:29
      • 8.2 Case Study: EY
        01:05
      • 8.3 Customer Analytics Framework
        00:59
      • 8.4 Data Understanding
        01:42
      • 8.5 Data Preparation
        00:50
      • 8.6 Modeling
        02:05
      • 8.7 Model Monitoring
        01:11
      • 8.8 Latest Trends in Data Analytics
        01:11
      • 8.9 Graph Analytics
        00:45
      • 8.10 Automated Machine Learning
        01:24
      • 8.11 Open Source AI
        00:52
      • 8.12 Key Takeaways
        00:27

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Why you should learn Data Analytics?

$77.64 Billion

Market valuation by the end of 2023

CAGR of 30% from 2017-2023

Expected growth of Data Analytics market globally

Career Opportunities

Course Overview

Most organizations gather massive amounts of information, enabling them to make data-driven decisions and develop quality products and services. Data analytics involves collecting and analyzing data to discover trends and conclusions from available information. Raw data is gathered, preprocessed, and analyzed to discover hidden trends and patterns, assisting stakeholders with the right decision-making tools. 

Step into the world of data analytics with this free data analytics course from Simplilearn. Beginners can le

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FAQs

  • Is this data analysis course completely free, or are there hidden charges?

    There are no hidden charges for the data analyst free course. 

  • Are there any requirements to take this free data analytics course?

    This free data analytics course does not require prior knowledge of programming or statistics. However, we recommend clearly understanding mathematics fundamentals before you begin the program. Aspiring professionals from any educational background with an analytical mind can learn data analytics This data analysis course is also best suited for the following:

    • Students in UG/PG programs

    • IT professionals

    • Banking and finance professionals

    • Sales professionals

    • Beginners in the data analytics domain

  • Will I receive a certification upon successful completion of this free course?

    After completing this free data analyst course, you will receive a completion certificate. Login to your SkillUp account, and you can unlock the certificate, view it, and download it. Add the shareable certificate to your resume and share it with prospective recruiters on LinkedIn and other platforms. 

  • Has the course material been updated recently to match the most recent data analytics trends and technologies?

    Yes, the course material for the free data analytics course is updated regularly to match the most recent data analytics trends and technologies. 

  • What is the free data analyst course duration?

    The free data analytics certification course consists of 3 hours of self-paced video lessons. 

  • How will this course benefit my career in data analytics?

    After completing this free data analyst course, you can pursue data-related job roles such as data scientists, data analysts, and data architects. Artificial Intelligence and Machine Learning applications have fueled the need for Data Analytics since companies are hiring skilled data analyst professionals. 

  • Do I have to finish this free data analytics course by a certain date or time?

    You can finish this data analyst course online for free within 90 days.

Learner Review

  • Miten Godhania

    Miten Godhania

    An insightful course named as "Introduction to Data Analytics" is offered by Simplilearn under its Skill Up initiative. I loved the visually graphical method used to explain the topic in bits, it was so engaging for a non-IT background enthusiast like me.

  • Manasa TL

    Manasa TL

    Proud to complete Introduction to DA by Simplilearn. The teaching is very neat and the concepts are clear. In this pandemic time simplilearn helped me learn and improve my skills. It is very much helpful for students as it have many unique courses for completely free along with certificate.

  • Pankaj Solanki

    Pankaj Solanki

    Learning something new is always the biggest challenge because we don't want change. Thus, I decided to focus on upgrading my skills. Learned more about Data Analytics and earned my certificate by Simplilearn.

  • Mohammed Salman

    Mohammed Salman

    This is my First Step in Data Analytics. The videos were crystal clear and easy to understand. Thank you Simplilearn for this wonderful course.

  • Maxwell Badu-Nyarko

    Maxwell Badu-Nyarko

    Just Skilled Up. I started a course on data analytics and I’m loving every bit of this experience of learning. I’m looking forward learn the tools and software used in data analytics such as tableau, power BI, SQL etc.

  • Justice Awiah

    Justice Awiah

    Chasing the passion for data and how to cause business development with the use of data,Simplilearn has given me the head start and neccessary knowledge to be a business game changer through Introduction to Data Analytics course

  • Sarthak Garg

    Sarthak Garg

    BTech , Bharat Institute of Technology

    I got to learn a lot of new things about Data Analytics in this free course. Special thanks to SkillUp for providing this opportunity to learn so much from home."

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