Business Analyst Course Syllabus
Are you prepared to transform data into strategic insights, mastering tools like Excel, SQL, and Power BI for effective analysis? A business analyst course syllabus is crafted to equip you with these in-demand skills, covering core areas like data cleaning, data visualization, statistical analysis, and data-driven decision-making.
As businesses increasingly rely on data insights, having a solid foundation in these techniques is crucial. This blog offers an in-depth look at the topics in a typical business analyst course syllabus, helping you navigate the journey toward becoming a proficient and sought-after business analyst.
What is a Business Analyst Course?
A business analyst course with a placement guarantee focuses on teaching how to analyze and interpret data to make informed business decisions. It covers essential skills like data analysis, statistical techniques, and using tools like Excel, SQL, Python, and data visualization software, which are commonly used in the industry to manage and interpret data effectively. The course also emphasizes understanding business trends, identifying patterns, and making strategic recommendations that help companies grow.
By enrolling in this course, students follow a structured business analytics syllabus that includes hands-on projects, allowing them to apply data-driven decision-making skills in real scenarios. They also learn data visualization, a key skill for presenting insights clearly and making data accessible for decision-makers. With practical experience and expert guidance, students are well-prepared to build successful careers—especially for those wondering if a business analyst is a good career.
Business Analyst Course Fee & Their Duration
The business analyst course offered with a data science placement guarantee is designed to provide in-depth learning over a set duration with a focus on real-world applications. This course spans six months and is conducted entirely online, allowing flexibility for learners. It includes a placement guarantee, offering students the confidence of a stipend upon successful completion.
Here is the table showing the course details:
| Course Feature | Details |
| Duration | 6 months |
| Mode | Online |
| Fee | ₹42,000 |
| Placement Guarantee | 100% refund if not hired |
| Total Stipend | ₹40,000 confirmed |
| Rating | 4.5/5 |
| Seats Available | Limited |
Business Analyst Course Syllabus Outline
Let us explore the business analyst course syllabus. This overview will give you a clear understanding of the core modules and the essential skills you’ll develop as you move through the program.
1. Introduction to Data Analytics
This module introduces you to the basics of data analytics, including understanding how data influences business decisions. You will learn about different types of data, basic statistical concepts, and the fundamentals of analyzing data to support business strategies. This module sets the stage for more advanced topics and prepares you for real-world applications.
2. Data Management and Analysis with MS Excel
In this part of the business analyst course syllabus, you will gain essential skills in Excel, a critical tool for managing and analyzing data. You’ll learn to use Excel’s functions and Excel formulas to organize data, perform calculations, and create useful reports. Additionally, you will explore more advanced features like pivot tables and charts that help you summarize and visualize data effectively.
3. Data Visualization with Power BI
This module of the business analyst syllabus focuses on using Power BI for data visualization. You will learn how to create visual reports, manipulate data, and design interactive dashboards. Power BI helps you present data clearly and insightfully, allowing business decision-makers to easily understand complex data and make informed choices.
4. SQL for Data Analysis and Insights
SQL (Structured Query Language) is essential for working with databases. In this module, you will learn how to use SQL to extract, filter, and analyze data from databases. You will understand key concepts like querying data, joining multiple tables, and running advanced queries, all of which are vital for drawing insights from large datasets.
5. Python for Data Preparation & Analysis
This module of the business analyst syllabus introduces Python, a powerful tool for data analysis. You will learn how to use Python’s libraries (like Pandas and NumPy) to clean and manipulate data. The course also covers statistical concepts and Python programming techniques, allowing you to analyze data and draw meaningful conclusions for business decisions.
6. Machine Learning Basics
Machine learning helps businesses predict trends and outcomes. This module teaches you the fundamentals of machine learning, including supervised and unsupervised learning. You will explore techniques like regression, classification, and clustering to make data-driven predictions that can help businesses improve performance.
7. Natural Language Processing (NLP)
This section of the business analyst syllabus introduces NLP, which is used to analyze text data. You will learn how to extract valuable insights from customer reviews, social media, or any text-based data. By understanding NLP techniques, you will be able to improve customer service, monitor brand sentiment, and refine communication strategies.
8. Deep Learning Basics
Deep learning is a subset of machine learning that focuses on neural networks. This section of the business analyst syllabus teaches you how deep learning can be applied to complex tasks like image recognition and autonomous systems. You will learn the basics of neural networks and how they can be used to process large data sets and extract useful insights.
Projects During the Business Analyst Course
The business analyst course includes several hands-on projects that provide practical experience in applying the skills learned throughout the course. These projects help students understand real-world challenges and give them the opportunity to develop solutions using industry-standard tools.
Below is an overview of the key projects you will work on during the course:
Project 1: J.P. Morgan Classification for Legal Documents
In this business analyst syllabus project, you will work on classifying legal documents using J.P. Morgan’s data analytics framework. The goal is to apply data classification techniques to categorize legal documents efficiently, leveraging machine learning algorithms and data pre-processing tools.
Project 2: KPMG Data Analysis Using Excel
This project focuses on enhancing decision-making processes through data collection, cleaning, and analysis using Excel. You will explore different Excel functions to organize data, create visualizations, and summarize insights that can aid in business decisions.
Project 3: Airline Performance Analysis Using Power BI
In this project of the business analyst syllabus, you will analyze airline performance data using Power BI. You will focus on visualizing key performance indicators (KPIs) like on-time performance, customer satisfaction, and route efficiency, using interactive dashboards to provide actionable insights for airline management.
Project 4: Optimizing Retail Insights: A Walmart Case Study
In this 4th project, you will perform a comprehensive data analysis of Walmart using SQL. By analyzing sales and inventory data, you will identify patterns, optimize pricing strategies, and offer insights to improve business performance.
Project 5: Electric Vehicles Market Size Analysis Using Python
This project focuses on analyzing the market size of electric vehicles using Python. You will utilize Python libraries to clean and analyze data, providing valuable insights into the growth trends of the electric vehicle market and predicting future market dynamics.
Project 6: Smart Pricing & Retention: Data-Driven Solutions for Airbnb and Telecom Industries
This business analyst syllabus project focuses on developing smart pricing strategies and predicting customer retention in both the Airbnb and telecom industries. This project will include the following 2 parts.
- A. Sentiment Analysis of IMDb Reviews: In this part of the project, you will analyze movie reviews from IMDb to predict whether the sentiment is positive or negative. You will preprocess the text, extract features, and build classification models to perform sentiment analysis on the reviews.
- B. News Article Classification: In this part, you will classify news articles into categories like sports, politics, and technology. The project involves scraping news data, preprocessing the text, and using classification algorithms to categorize articles accurately.
Project 7: Text Intelligence: Sentiment Analysis of IMDb Reviews and News Article Classification
This project focuses on smart pricing and customer retention in Airbnb and telecom industries. You will first analyze IMDb movie reviews to predict sentiment (positive or negative) by preprocessing the text, extracting features, and building classification models. Then, you will classify news articles into categories like sports, politics, and technology by scraping data, preprocessing text, and using classification algorithms.
What are the Prerequisites of a Business Analyst Course?
Before starting a business analyst course, certain skills and knowledge can make your learning easier and more enjoyable. While the course will teach you important topics, having some background in specific areas will help you understand the material better.
Let us look at the key prerequisites you should consider before learning from the business analyst syllabus:
- Basic Computer Skills: Knowing how to use a computer is essential. You will work with different software programs and online resources throughout the course. Being comfortable with spreadsheets and data management tools will be especially helpful.
- Mathematics and Statistical Knowledge: Understanding basic math and statistics is important. Concepts like averages, percentages, and data distributions will come up frequently. Being familiar with numbers will help you analyze data more easily.
- Curiosity About Data: Having an interest in data analysis is beneficial. Being eager to look for trends, patterns, and insights will enhance your learning experience. This curiosity will motivate you to explore the subject more deeply.
- Analytical Thinking: Building strong analytical skills will help you evaluate information critically. Being able to look at data and draw meaningful conclusions is essential for a business analyst. This ability will enable you to make informed decisions based on data.
- Willingness to Collaborate: Being open to working with others is important in this course. You will often participate in group projects and discussions, which allow you to learn from your classmates and gain different perspectives. Working together helps you understand the material better.
Skills You Can Develop From a Business Analyst Course
Taking a business analytics course offers you essential skills that are highly valued in today’s job market. These skills make you a strong candidate for employers and equip you to solve complex business problems effectively. Here are some of the key skills you can develop through such a course:
- Business Models: Gain insights into how different business models work and understand how companies operate. This skill lets you align your analysis with organizational goals and business strategies.
- Understanding Statistics: Learn foundational statistics, including concepts like probability and data distributions. These skills allow you to solve business problems effectively and check your results carefully.
- Excel Skills: Excel is essential in business analytics. You’ll master advanced functions, formulas, and data visualization tools, enabling you to create detailed reports and dashboards to present your findings clearly.
- Data Visualization: Develop skills to represent data visually using charts, graphs, and other tools. These abilities help you communicate complex information in a straightforward way, making it easy for others to understand your insights.
- Machine Learning Basics: Get introduced to machine learning, which enables you to create models that predict trends and outcomes. This knowledge supports businesses in making proactive, data-driven decisions.
- Python for Analytics: Learn to use Python for data analysis and preparation. This skill allows you to handle data efficiently and build models for predictive analysis.
- SQL Proficiency: Master SQL to manage and analyze data. These skills are crucial for generating insights and creating strategies based on real data.
Conclusion
Completing a business analyst course syllabus offers more than just foundational skills—it positions you to add strategic value within any organization. With a syllabus covering essentials like data management, SQL, machine learning, and NLP applications, you’ll develop the tools needed to identify trends, enhance decision-making, and solve complex challenges. Each module addresses real industry needs, helping you stand out in the job market with both practical expertise and analytical insight.
FAQs
A business analyst studies how to gather, analyze, and interpret data to support business decisions. They focus on areas like data management, business processes, and decision-making strategies. Key tools they learn to use include Excel, SQL, Power BI, and Python for data analysis and visualization.
The best course for business analysts offers comprehensive training in data analysis, business analytics, and key tools like Excel, SQL, Power BI, and Python. Internshala’s business analytics course, with its hands-on projects and placement guarantee, equips you with the practical skills needed to build a successful career.
No, a business analyst course is not necessarily hard to study, but it does require dedication and effort. While some concepts may be challenging, the course is designed to provide foundational knowledge and practical skills. With consistent practice and engagement, students can successfully grasp the material.
Yes, a fresher can become a business analyst. Many entry-level positions are available for recent graduates, especially those with a background in business, finance, or data analysis. Completing a relevant course or certification can further enhance their chances of securing a role in this field.
Yes, the highest salary for a business analyst fresher can vary based on factors such as location, industry, and company size. On average, a fresher can expect to earn between ₹3 LPA to ₹7 LPA, with some top companies offering higher salaries for candidates with strong skills or relevant internships.
