Business Analytics Course |SEOAK

Description

Business Analytics is the practice of using data and statistical methods to drive informed decision-making in businesses. It involves analysing past performance (descriptive analytics), predicting future trends (predictive analytics), and recommending actions for optimization (prescriptive analytics). By leveraging tools like Excel, SQL, and Tableau, business analysts help organizations enhance operations, improve customer experiences, and boost profitability. Business analytics is used across various functions, including marketing, finance, and operations, to uncover insights that improve strategic decisions. As businesses rely more on data-driven strategies, the demand for skilled business analysts continues to grow.

What you'll learn

Over 72 of Content!

Theoretical And Practical Training Included Real-Time Projects.

Best Suitable for Beginners to Intermediate Level Users and Who Learn Faster When Demonstrated.

Course Content Is Designed by Considering Current Trending Technologies and The Job Market.

Practical Real-Time Experience with Live Projects.

Unlimited Resources with Lifetime Access.

Requirements

No Prerequisites required

Course Content

Introduction to Business Analytics

What is Business Analytics? Importance and Scope

Role of Business Analytics in Decision-Making

Types of Analytics: Descriptive, Predictive, and Prescriptive

Key Concepts: Data, Information, Knowledge, Insights

Business Analytics Process

Data Collection: Sources of Business Data

Data Cleaning and Preprocessing

Exploratory Data Analysis (EDA)

Data Visualization and Storytelling

Data Types and Structure

Types of Data: Structured vs. Unstructured Data

Quantitative vs. Qualitative Data

Time-Series, Cross-Sectional, and Panel Data

Key Tools and Technologies

Introduction to Analytics Software: Excel, R, Python, Tableau, Power BI

Data Storage Solutions: Databases, Data Warehouses

Data Management and Big Data (Hadoop, Spark)

Descriptive Analytics & Data Visualization

Understanding Descriptive Statistics

Measures of Central Tendency: Mean, Median, Mode

Measures of Dispersion: Range, Variance, Standard Deviation

Why Visualization Matters in Business Analytics

Choosing the Right Type of Chart/Graph: Bar Charts, Line Graphs, Pie Charts, Heatmaps, Histograms

Best Practices in Data Visualization

Using Excel for Basic Data Visualization

Introduction to Tableau: Building Interactive Dashboards

Introduction to Power BI: Connecting, Visualizing, and Reporting Data

Data Cleaning: Identifying and Handling Missing Data

Identifying Patterns and Outliers in Data

Correlation Analysis and Data Relationships

Data-Driven Storytelling Techniques

Creating Business Reports Using Visualization Tools

Presenting Data Insights to Stakeholders

Inferential Statistics for Business Analytics

Introduction to Probability Theory and its Business Applications

Probability Distributions: Normal Distribution, Binomial Distribution, Poisson Distribution

Sampling Techniques and the Central Limit Theorem

Null and Alternative Hypotheses

Type I and Type II Errors

P-Value, Confidence Interval, and Significance Level

One-Tailed and Two-Tailed Tests

T-tests, Z-tests, Chi-Square Tests

ANOVA (Analysis of Variance)

Paired T-Test and Independent T-Test

Pearson and Spearman Correlation Coefficients

Simple Linear Regression: Fitting and Interpreting the Model

Multiple Linear Regression: Assumptions, Multicollinearity, and Interpretation

Predictive Analytics

Difference Between Descriptive and Predictive Analytics

Overview of Predictive Modeling Process

Model Selection and Evaluation Criteria

Simple Linear Regression and Model Assumptions

Multiple Linear Regression

Logistic Regression for Classification Problems

Interpreting Coefficients and Model Evaluation Metrics (AUC, ROC)

Time-Series Components: Trend, Seasonality, Noise

Moving Averages and Exponential Smoothing

ARIMA (AutoRegressive Integrated Moving Average) Models

Forecasting and Predicting Future Trends

Cross-Validation Techniques

Performance Metrics: R-Squared, Mean Absolute Error, Root Mean Square Error

Overfitting and Underfitting: Bias-Variance Trade-off

Prescriptive Analytics & Optimization

What is Prescriptive Analytics and its Business Applications?

Difference Between Descriptive, Predictive, and Prescriptive Analytics

Role of Optimization in Business Analytics

Linear Programming: Formulating Optimization Problems

Solving Optimization Problems with Solver in Excel

Integer Programming and Non-Linear Optimization

Decision Trees and Decision Analysis

Monte Carlo Simulation for Risk and Uncertainty

Markov Chains for Predicting Future States

Case Study on Supply Chain Optimization

Case Study on Marketing Spend Optimization

Case Study on Resource Allocation and Scheduling

Advanced Analytics Techniques

Overview of Machine Learning Algorithms: Supervised vs. Unsupervised Learning

K-Nearest Neighbors, Decision Trees, Random Forest, and SVMs

Clustering Techniques: K-Means, Hierarchical Clustering

Practical Applications of ML in Business (e.g., Customer Segmentation)

Introduction to Text Mining and Natural Language Processing (NLP)

Techniques for Extracting Insights from Text Data

Sentiment Analysis: Using Twitter Data for Brand Monitoring

Introduction to Big Data and its Business Applications

Tools for Big Data Analytics: Hadoop, Spark

Processing and Analyzing Large Datasets

Introduction to AI and its Impact on Business

AI Use Cases in Business: Automation, Chatbots, Predictive Maintenance

Data-Driven Decision Making and Communication

The Importance of Data in Business Strategy

Making Business Decisions Using Predictive and Prescriptive Analytics

Creating a Data-Driven Culture in an Organization

Communicating Data Insights Effectively to Non-Technical Stakeholders

Report Writing and Presentations for Business Decision-Makers

Creating a Dashboard for Business Monitoring

Capstone Project

Capstone Project Overview

Project Guidelines and Expectations

Data Collection and Preparation

Analysis and Model Building

Visualization and Storytelling

Final Presentation of the Project

Projects

Sales Performance Analysis & Forecasting

Use historical sales data to analyze past performance and forecast future sales, providing actionable insights for business planning.

Customer Segmentation using Clustering Techniques

Segment customers based on their behavior and characteristics to optimize marketing efforts and improve customer targeting.

Business Process Optimization using Simulation Models

Use simulation techniques to optimize business processes, improve efficiency, and reduce costs.

Marketing Spend Optimization with Regression Analysis

Analyze the relationship between marketing spend across different channels and sales, and optimize marketing allocation for maximum ROI.

Customer Churn Prediction using Machine Learning

Build a predictive model to identify customers at risk of leaving the business, and recommend retention strategies.

Certificates

Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review

Pricing

Online Live Program

Save 43%

BUSINESS ANALYTICS

Perfect for people who want to learn through live classes,get their questions answered in real-time, and receive help with job placement.

₹35,000/-

₹25,000/-

EMI starting at ₹1000/m

Additional Perks

1 and Half Hours Daily Classes

Live Problem Solving

Practice Assignments & Quiz

140+ Hours Learning Content

Access to Live Session Recording

1-1 Doubt Clearance Support

Industrial Internship Offer

Master Job Hunting Hacks

LinkedIn & Resume Review

Job Openings & Referrals

Company Tie-up Interview

100% Placement Assistance

Unlimited Mock Interviews

Course Completion Certificate

Learning Portal Access for Lifetime

Access To Discord Community

Enroll Now to get this Live Program at discounted Offer Price with bonus features like internship, interview QnA, Job Hunting Hocks,etc

Instructor

Abhishek Chauhan

Software Engineer

Gauav Kumar Jain

Software Engineer

Pavan Kumar

Software Engineer

Hemant Vaswani

Sr.Software Developer

Debobrata Dey

Software Developer

Nidhi Chauhan

AI/ML Engineer

Abhishek Chauhan

Software Engineer

Gauav Kumar Jain

Software Engineer

Pavan Kumar

Software Engineer

Hemant Vaswani

Sr.Software Developer

Debobrata Dey

Software Developer

Nidhi Chauhan

AI/ML Engineer

Frequently Asked Questions.

How do I enroll in a course?

To enroll in a course, visit the course page, click the "Enroll" or "Register" button, and follow the instructions. You may need to create an account or log in if you haven't already.

Is there a cost associated with your courses?

The cost of our courses varies. Some courses are free, while others may have a fee. Check the course details for pricing information.

Do you offer financial assistance or scholarships for your courses?

Yes, we offer financial assistance and scholarships for eligible students. Please check the course page for information on how to apply for financial aid.

Can I access course materials on any device?

Our courses are designed to be accessible on various devices, including desktops, laptops, tablets, and smartphones. Please ensure you have a compatible web browser for the best experience

Are your courses self-paced or scheduled at specific times?

Course formats may vary. Some courses are self-paced, allowing you to learn at your own speed, while others may have set start and end dates with scheduled lectures or assignments.

How long do I have access to a course after enrolling?

You typically have access to a course for a specific duration, which is mentioned on the course page. Access periods may vary depending on the course.

What kind of certification will I receive upon course completion?

Upon successfully completing a course, you will receive a certificate of completion. The type and format of the certificate may vary by course. Check the course details for specifics.

Are your courses accredited or recognized by educational institutions?

Our courses may be accredited or recognized by specific institutions. Please check the course page for accreditation details and any applicable partnerships.

How can I communicate with instructors or ask questions during the course?

You can interact with instructors and fellow learners through discussion forums, chat, or other communication tools within the course platform.

What is the refund policy?

You can check our refund policy here.