Introduction to Data Analytics Course for Beginners
4.6 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Introduction to Data Analytics Course for Beginners at Simplilearn Overview
Duration | 3 hours |
Total fee | ₹2.12 Lakh |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Introduction to Data Analytics Course for Beginners at Simplilearn Highlights
- Earn an industry recognized course completion certificate
- Get 24x7 learner assistance and support
- Real-world case studies and examples
- Simulation test papers for self-assessment
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- Skilled professionals will be eligible for more than 90,000 available jobs in data analytics globally
Introduction to Data Analytics Course for Beginners at Simplilearn Course details
- For anyone who wishes to learn the fundamentals of data analytics and pursue a career in this growing field
- Types of data analytics
- Frequency distribution plots
- Swarm plots
- Data visualization
- Data science methodologies
- Analytics adoption frameworks
- Trends in data analytics
- This course introduces beginners to the fundamental concepts of data analytics through real-world case studies and examples
- 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
- This course will give insights into how to apply data and analytics principles in your business
Introduction to Data Analytics Course for Beginners at Simplilearn Curriculum
Lesson 1 - Course Introduction
1.01 Course Introduction
Lesson 2 - Data Analytics Overview
2.02 Data Analytics - Importance
2.03 Digital Analytics: Impact on Accounting
2.04 Data Analytics Overview
2.05 Types of Data Analytics
2.06 Descriptive Analytics
2.07 Diagnostic Analytics
2.08 Predictive Analytics
Lesson 3 - Dealing with Different Types of Data
3.2 Terminologies in Data Analytics - Part One
3.3 Terminologies in Data Analytics - Part Two
3.4 Types of Data
3.5 Qualitative and Quantitative Data
3.6 Data Levels of Measurement
3.7 Normal Distribution of Data
3.8 Statistical Parameters
Lesson 4 - Data Visualization for Decision making
4.2 Data Visualization
4.3 Understanding Data Visualization
4.4 Commonly Used Visualizations
4.5 Frequency Distribution Plot
4.6 Swarm Plot
4.7 Importance of Data Visualization
Lesson 5 - Data Science, Data Analytics, and Machine Learning
5.02 The Data Science Domain
5.03 Data Science, Data Analytics, and Machine Learning - Overlaps
5.04 Data Science Demystified
5.05 Data Science and Business Strategy
5.06 Successful Companies Using Data Science
5.7 Travel Industry
Lesson 6 - Data Science Methodology
6.02 Data Science Methodology
6.03 From Business Understanding to Analytic Approach
6.04 From Requirements to Collection
6.05 From Understanding to Preparation
6.06 From Modeling to Evaluation
6.07 From Deployment to Feedback
6.08 Key Takeaways
Introduction to Data Analytics Course for Beginners at Simplilearn Entry Requirements
- Pre-requisites: Familiarity with mathematics is helpful for this course
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