Data Analytics Introduction Certification - eLearning
450,00 EUR
- 20 hours
This data analytics course provides fundamental concepts of data analytics through real-world case studies and examples and gives insights into how to apply data and analytics principles in your business. You’ll learn about project lifecycles, the difference between data analytics, data science, and machine learning; building an analytics framework, and using analytics tools to draw business insights.
Key Features
Language
Course and material are in english
Level
Beginner friendly
Access
1 year access to the self-paced study eLearning platform 24/7
3 hours of video content
with 20 hours recommended study time & practices
No Exam
No exam for the course but student will get certification of training completion
Learning Outcomes
At the end of this Data Analytics introduction eLearning Course you will be able to:
Problems
Understand how to solve analytical problems in real-world scenarios
Objectives
Define effective objectives for analytics projects
Data Visualization
Understand the importance of data visualization to drive more effective business decisions and ROI .
Graphs
Understand charts, graphs, and tools used for analytics and use them to gain valuable insights.
Framework
Create an analytics adoption framework Identify upcoming trends in data analytics
Data
Work with different types of Data
Course timeline
Data Analytics Overview
Lesson 01
- Introduction
- Data Analytics: Importance
- Digital Analytics: Impact on Accounting
- Data Analytics Overview
- Types of Data Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Data Analytics: Amazon Example
- Data Analytics Benefits: Decision-making
- Data Analytics Benefits: Cost Reduction
- Data Analytics Benefits: Amazon Example
- Data Analytics: Other Benefits
- Key Takeaways
Dealing with Different Types of Data
Lesson 02
- Introduction
- Terminologies in Data Analytics - Part One
- Terminologies in Data Analytics - Part Two
- Types of Data
- Qualitative and Quantitative Data
- Data Levels of Measurement
- Normal Distribution of Data
- Statistical Parameters
- Key Takeaways
Data Visualization for Decision making
Lesson 03
- Introduction
- Data Visualization
- Understanding Data Visualization
- Commonly Used Visualizations
- Frequency Distribution Plot
- Swarm Plot
- Importance of Data Visualization
- Data Visualization Tools - Part One
- Data Visualization Tools - Part Two
- Languages and Libraries in Data Visualization
- Dashboard Based Visualization
- BI and Visualization Trends
- BI Software Challenges
Data Science Data Analytics and Machine Learning
Lesson 04
- Introduction
- The Data Science Domain
- Data Science, Data Analytics, and Machine Learning - Overlaps
- Data Science Demystified
- Data Science and Business Strategy
- Successful Companies Using Data Science
- Travel Industry
- Retail
- E-commerce and Crime Agencies
- Analytical Platforms Across Industries
- Key Takeaways
Data Science Methodology
Lesson 05
- Introduction
- Data Science Methodology
- From Business Understanding to Analytic Approach
- From Requirements to Collection
- From Understanding to Preparation
- From Modeling to Evaluation
- From Deployment
- Key TakeawaysData Analytics in Different Sectors
Lesson 06
- Introduction
- Analytics for Products or Services
- How Google Uses Analytics
- How Linkedin Uses Analytics
- How Amazon Uses Analytics
- Netflix: Using Analytics to Drive Engagement
- Netflix: Using Analytics to Drive Success
- Media and Entertainment Industry
- Education Industry
- Healthcare Industry
- Government
- Weather Forecasting
Key Takeaways
Analytics Framework and Latest trends
Lesson 07
- Introduction
- Case Study: EY
- Customer Analytics Framework
- Data Understanding
- Data Preparation
- Modeling
- Model Monitoring
- Latest Trends in Data Analytics
- Graph Analytics
- Automated Machine Learning
- Open Source AI
- Key Takeaways
Who Should Enroll in this Program?
There is no formal prerequisites
This course is ideal for anyone who wishes to learn the fundamentals of data analytics and pursue a career in this growing field. The course also caters to CxO-level and middle-management professionals who want to improve their ability to derive business value and ROI from analytics.
Business Intelligent
Data Analyst
Data Science
Marketing Analyst
Frequently Asked Question
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