About This Course
This Business Analytics course is built on the industry-aligned curriculum from NYERAS Edutech & Innovations. You will learn what business analytics is, its importance and applications, data types and sources, and move into descriptive and inferential statistics, data distributions, and correlation and regression.
You will master data visualization, data mining (association rules, clustering, decision trees, random forests), predictive analytics, machine learning, Big Data (Hadoop, Spark, NoSQL), text analytics, and data governance. The course also covers business intelligence, SQL for analytics, and Python with Pandas, Scikit-Learn, TensorFlow, and PySpark.
Course Benefits
- 35+ hrs of Training
- Industry-based assessments
- Outcome-based learning
- Hands-on projects
- Lifetime LMS Access
- Industry certification
Course Curriculum
1. Introduction to Business Analytics
- • What are Business Analytics?
- • Importance of Business Analytics
- • Applications of Business Analytics
- • Data Types and Data Sources
2. Data Analysis
- • Descriptive vs. Inferential Statistics
- • Data Distributions
- • Central Tendency and Dispersion Measures
- • Correlation and Regression Analysis
3. Data Visualization
- • Importance of Data Visualization
- • Basic Visualization Types
- • Charts and Graphs
- • Design Principles for Effective Data Visualization
4. Data Mining
- • What is Data Mining?
- • Association Rules
- • Clustering Techniques
- • Decision Trees
- • Random Forests
5. Predictive Analytics
- • Understanding Predictive Analytics
- • Linear Regression
- • Logistic Regression
- • Time Series Analysis
- • Forecasting Methods
6. Machine Learning
- • Introduction to Machine Learning
- • Types of Machine Learning Algorithms
- • Supervised Learning
- • Unsupervised Learning
- • Model Evaluation and Selection
7. Big Data Analytics
- • Introduction to Big Data Analytics
- • Technologies for Big Data Analytics
- • Hadoop Ecosystem
- • Spark Ecosystem
- • NoSQL Databases
8. Text Analytics
- • Understanding Text Analytics
- • Text Preprocessing Techniques
- • Sentiment Analysis
- • Topic Modeling
- • Text Classification
9. Data Governance and Ethics
- • Importance of Data Governance and Ethics
- • Data Privacy and Security
- • Regulatory and Legal Compliance
- • Ethical Considerations in Data Analytics
- • Best Practices for Data Governance
10. Business Intelligence and Reporting
- • Introduction to Business Intelligence
- • OLAP Cube Design and Analysis
- • Dashboard Development
- • KPIs and Metrics
- • Report Design and Development
11. SQL for Data Analytics
- • Introduction to SQL
- • SQL Basics and Syntax
- • Data Querying and Filtering
- • Joins, Subqueries, and Aggregations
- • Data Manipulation with SQL
12. Data Analytics with Python
- • Introduction to Python for Data Analytics
- • Data Analysis and Visualization with Pandas and Matplotlib
- • Machine Learning with Scikit-Learn
- • Deep Learning with TensorFlow and Keras
- • Big Data Analytics with PySpark
Requirements
- Basic numeracy and interest in data-driven decisions
- No prior analytics experience required; beginners welcome
- Computer with internet connection
- Willingness to learn Excel, SQL, and Python
Material Includes
- 35+ Hours of Video Lectures
- Lifetime LMS Access
- Section Quizzes & Assessments
- Industry-Based Hands-on Projects
- Certificate of Completion
Why Choose This Course
Industry-Aligned Curriculum
Structured on the Business Analytics curriculum from NYERAS Edutech, from statistics to Big Data and Python
Hands-On Projects
Build dashboards, run predictive models, and analyze real business datasets
Industry Certification
Earn a recognized certificate for roles in analytics, BI, and data science
Mentor Support
Get guidance from experts in business analytics and data science
Self-Paced Learning
Learn at your own pace with lifetime access to course materials and updates
Career Support
Access placement assistance and connect with professionals in analytics and BI
Ready to Master Business Analytics?
Join students learning data analysis, visualization, predictive analytics, and Big Data. Start your journey in business analytics today.