INTRO-DA.AE1
Data Analytics
Start your data journey from here to upgrade your data analytical skills.
- Practice in 23 Hands-On Labs — nothing to install
- 15 Interactive Lessons and 63 topics mapped to the official exam objectives
- 280 Practice Test Questions
Beginner Self-paced · 1 year access
23 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
15Interactive Lessons
63Topics
23LiveLab
280Practice Test Questions
79Flashcards
79Glossary of terms
01 / Skills you'll get
What you will be able to do
Enroll for this Data Analytics course that equips you with the knowledge and skills needed to utilize and optimize data for making informed decisions. This Data Analytics online course is designed for beginners as well as professionals wanting to learn more about the use of data in the business landscape. You’ll be exploring a wide range of techniques, from descriptive statistics to advanced predictive modeling. Other than understanding the fundamentals of data, you’ll also learn data preprocessing and description & summarizing techniques. Discover techniques for Text, Web, and Social Media Analysis. By the end of the training course, you’ll be fluent in statistical methods, machine learning algorithms, and data mining techniques.
- Understanding data types, it’s application & importance
- Describe statistics including univariate, bivariate, and multivariate analysis
- Expertise in data cleaning and preparation techniques
- Clustering algorithms to group similar data
- Identify frequent data mining patterns
- Regression analysis to build predictive/forecast models
- Data categorization into different classes
- Learn ensemble learning, algorithm bias, and non-binary classification tasks
- Analyzing text, web, and social media data
Course Highlights
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15 Structured Lessons Comprehensive coverage of core course objectives
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23 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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280 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
15 Interactive Lessons · 63 topics01 Introduction 2 topics +
- How this Course is Organized
- Who Should Read this Course
02 What Can We Do With Data? 7 topics · 1 LiveLab +
- Big Data and Data Science
- Big Data Architectures
- Small Data
- What is Data?
- A Short Taxonomy of Data Analytics
- Examples of Data Use
- A Project on Data Analytics
1 LiveLab in this lesson — see the labs panel →
03 Descriptive Statistics 4 topics · 6 LiveLab +
- Scale Types
- Descriptive Univariate Analysis
- Descriptive Bivariate Analysis
- Final Remarks
6 LiveLab in this lesson — see the labs panel →
04 Descriptive Multivariate Analysis 5 topics · 2 LiveLab +
- Multivariate Frequencies
- Multivariate Data Visualization
- Multivariate Statistics
- Infographics and Word Clouds
- Final Remarks
2 LiveLab in this lesson — see the labs panel →
05 Data Quality and Preprocessing 6 topics · 3 LiveLab +
- Data Quality
- Converting to a Different Scale Type
- Converting to a Different Scale
- Data Transformation
- Dimensionality Reduction
- Final Remarks
3 LiveLab in this lesson — see the labs panel →
06 Clustering 4 topics · 1 LiveLab +
- Distance Measures
- Clustering Validation
- Clustering Techniques
- Final Remarks
1 LiveLab in this lesson — see the labs panel →
07 Frequent Pattern Mining 5 topics · 3 LiveLab +
- Frequent Itemsets
- Association Rules
- Behind Support and Confidence
- Other Types of Pattern
- Final Remarks
3 LiveLab in this lesson — see the labs panel →
08 Cheat Sheet and Project on Descriptive Analytics 2 topics +
- Cheat Sheet of Descriptive Analytics
- Project on Descriptive Analytics
09 Regression 4 topics · 1 LiveLab +
- Predictive Performance Estimation
- Finding the Parameters of the Model
- Technique and Model Selection
- Final Remarks
1 LiveLab in this lesson — see the labs panel →
10 Classification 5 topics · 2 LiveLab +
- Binary Classification
- Predictive Performance Measures for Classification
- Distance‐based Learning Algorithms
- Probabilistic Classification Algorithms
- Final Remarks
2 LiveLab in this lesson — see the labs panel →
11 Additional Predictive Methods 3 topics · 2 LiveLab +
- Search‐based Algorithms
- Optimization‐based Algorithms
- Final Remarks
2 LiveLab in this lesson — see the labs panel →
12 Advanced Predictive Topics 5 topics · 2 LiveLab +
- Ensemble Learning
- Algorithm Bias
- Non‐binary Classification Tasks
- Advanced Data Preparation Techniques for Prediction
- Description and Prediction with Supervised Interpretable Techniques
2 LiveLab in this lesson — see the labs panel →
13 Cheat Sheet and Project on Predictive Analytics 2 topics +
- Cheat Sheet on Predictive Analytics
- Project on Predictive Analytics
14 Applications for Text, Web and Social Media 3 topics +
- Working with Texts
- Recommender Systems
- Social Network Analysis
15 Appendix A 6 topics +
- Business Understanding
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Deployment
Hands-On Labs Our edge
23 LiveLabs- Extracting Knowledge from Data Using the KDD Process
- Creating a Scatter Plot
- Creating an Area Chart
- Creating a Line Chart
- Creating a Bar Chart
- Creating a Pie Chart
- Creating a Basic Histogram
- Creating a Box Plot
- Creating a Heatmap
- Detecting Outliers
- Normalizing Data
- Transforming Data for Improved Data Summarization
- Performing K-Means Clustering
- Implementing Frequent Itemset Mining Using R
- Implementing the Apriori Algorithm
- Implementing the Eclat Algorithm
- Performing Simple Linear Regression
- Implementing the Naive Bayes Algorithm
- Performing Logistic Regression
- Performing Multivariate Adaptive Regression Splines
- Implementing SVM for Regression
- Implementing the AdaBoost Method
- Performing One-Class Classification
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
What is this online Data Analytics training course? +
It is a comprehensive online training course that teaches you data analytics techniques, from fundamental to advanced topics. You’ll be learning about statistics, data preprocessing, clustering, frequent pattern mining, regression, classification, and more.
Is this a good starting point for a career in Data Science? +
Yes, it is the perfect Data Analytics training for beginners that equips you with the fundamental skill and knowledge required for critical business analysis.
Who will resolve my doubts related to the course content?+
This Data Analytics online course has the provision for an AI tutor (on demand). You can resolve all your course related questions there.
How will I practice my data analytical skills?+
There is a provision for hands-on Lab feature that enables you to practice your new-found learnings in a safe virtual environment.
Will I get a certificate after completing this course?+
Yes, you’ll get a Data Analytics Certification on course completion. You’ll have to appear for a post assessment at the end of this course to earn your certification.
Master Data Analytics: Start To Finish!
Start your data journey from here to upgrade your data analytical skills.
- 1 year of full access
- 23 LiveLab included
- Certificate of completion