Top 15+ Business Analyst Projects for Hands-on Learning

In today’s professional world, certain skills can make or break a career. One of the most valuable abilities is understanding how to analyse and solve problems effectively. Whether you’re helping a company improve its operations or identifying better ways to serve customers, the importance of these skills can’t be overstated.

While practice makes perfect in any skill, a good amount of this is found in practical experience, which is a strong caveat for professionals in this field. Confidence must be built through working on real-world projects, as it provides insight into how different scenarios are handled.

In this blog, we will discuss what business analysis is and why hands-on projects are so important. We’ll also share a list of 15+ practical project ideas, divided into beginner, intermediate, and advanced levels that you can try to enhance your skills.

What Is Business Analysis?

Business analysis identifies needs in an organisation and develops solutions for meeting those needs. This includes understanding business goals, discovering requirements, and ensuring that solutions address the organisation as a whole. In this field, Professionals analyse solutions with stakeholders to help improve processes, products, and service delivery.

At the most basic level, business analysis would be to identify the business problem and give a technical solution to it, or operationally. The business analyst uses combined dialogues of data, workflows, and systems to perform informed decision-making and adaptation activities relative to the business changes. This role requires a mix of analytical thinking, communication skills, as well as holistic business context.

Business analyst projects can nourish theoretical knowledge with practice. This means that you will find this project work very valuable for your future.

• Practical Experience: Apply theories and techniques in actual projects to practice first-hand in real-life scenarios to show that you can work on real problems.
• Builds Confidence: Most projects make you more confident in problem analysis and solution presentation to stakeholders.
• Strengthens Problem-Solving Abilities: The project work helps in improving your critical thinking and decision-making abilities, which are critical for finding success in this domain.
• Enhancing Your Resume: Project experience on your resume is something that makes you stand in front of the queue, when competition counts on candidates who have applied for the job role.
• Familiarised With Tools and Techniques: In a sense, projects give you a competitive edge by exposing you to the different tools, techniques, and frameworks related to business analysis.
• Understanding Stakeholder Needs: You learn how to analyse and gather requirements to align deliverables with organisational goals.
• Close the Knowledge Gaps: You can identify gaps in your understanding and more directly address improvements in specific skills your project reveals.
• Real-World Preparation: Practice prepares you for uncertainty and ambiguity as well as complex problems.

Project work is becoming a very effective way to grow your business analysis career. It creates a deep foundation on which to build skills so that the individual can handle issues on the technical and non-technical sides of the profession.

8 Beginner-level Business Analyst Projects

Beginner-level projects are ideal for those just starting out in business analysis. These projects focus on fundamental skills like data analysis, process mapping, and stakeholder communication. Let’s explore the first project in detail.

Customer Feedback Analysis for a Retail Store

Analysing customer feedback is a crucial skill for business analysts. This project involves gathering, organising, and interpreting feedback to improve customer satisfaction and identify areas for business improvement.

Prerequisites

• Basic knowledge of data collection methods (e.g., surveys, online reviews).
• Familiarity with spreadsheet tools like Microsoft Excel or Google Sheets.
• Understanding of key metrics such as Net Promoter Score (NPS) or customer satisfaction ratings.

How to Complete the Project

1. Gather Feedback: Collect customer surveys, online reviews, and comment cards.
2. Categorise Data: Group feedback into themes like service, pricing, and product quality.
3. Clean Data: Remove irrelevant or duplicate entries to ensure accurate analysis.
4. Analyse Trends: Identify frequent complaints or suggestions from customers.
5. Highlight Positive Feedback: Note strengths to reinforce in business strategies.
6. Use Visual Tools: Create bar charts or pie charts to present trends effectively.
7. Focus on Pain Points: Address recurring issues like delayed delivery or product defects.
8. Draft Recommendations: Propose specific actions, like improving delivery times or staff training.
9. Simulate Real Stakeholder Presentation: Prepare to present findings in a meeting format.
10. Document the Process: Keep a record of all steps for learning and future reference.

Outcomes

• Improved understanding of how to collect and interpret customer feedback.
• Practical experience in organising and analysing real-world data.
• Enhanced skills in presenting findings to stakeholders.

Tips for Success

• Use free online survey tools like Google Forms to simulate real feedback collection.
• Focus on presenting your findings in a way that’s easy for stakeholders to understand.
• Keep your recommendations actionable and tied to the data insights.

This project helps beginners develop the ability to turn customer feedback into valuable business insights, a key competency for any business analyst.

Inventory Management System Review

Reviewing an inventory management system helps you understand how businesses track and manage their stock. This project focuses on evaluating current systems and identifying improvement areas.

Prerequisites

• Basic understanding of inventory management principles
• Familiarity with inventory software (e.g., Excel, QuickBooks)
• Analytical skills to assess system efficiency

How to Complete the Project

1. Assess Current Processes: Document existing inventory tracking methods and workflows.
2. Collect Inventory Data: Gather data on stock levels, turnover rates, and discrepancies.
3. Identify Issues: Look for problems like overstocking or stockouts.
4. Recommend Enhancements: Suggest software upgrades or process changes to improve efficiency.
5. Present Findings: Share your analysis and recommendations with stakeholders.

Outcomes

• Enhanced understanding of inventory management systems
• Ability to identify and analyse system inefficiencies
• Skills in recommending and planning system improvements

Tips for Success

• Use real or simulated data to make your analysis more realistic
• Focus on specific areas for improvement to keep the project manageable
• Present your findings in a clear, organised manner for easy comprehension

This project provides a foundational experience in evaluating and improving inventory management systems, essential for effective business operations.

Sales Data Analysis for Trend Identification

Analysing sales data helps businesses understand their performance and identify growth opportunities. This project involves examining sales records to uncover patterns and trends.

Prerequisites

• Basic knowledge of sales metrics and KPIs
• Proficiency in spreadsheet software like Excel or Google Sheets
• Ability to interpret data and identify trends

How to Complete the Project

1. Gather Sales Data: Collect sales records from the past year or relevant period.
2. Organise and Clean Data: Input data into a spreadsheet and remove any inaccuracies.
3. Identify Key Metrics: Focus on metrics like total sales, average order value, and sales growth.
4. Analyse Trends: Look for patterns such as seasonal spikes or consistent growth in specific areas.
5. Develop Recommendations: Suggest strategies based on the identified trends, such as focusing on top-selling products.

Outcomes

• Ability to interpret and analyse sales data effectively
• Skills in identifying and visualising sales trends
• Enhanced capacity to make data-driven recommendations

Tips for Success

• Use pivot tables to simplify data analysis and trend identification
• Focus on the most relevant metrics to keep the analysis clear and concise
• Ensure your visualisations accurately represent the data for better stakeholder understanding

This project equips beginners with the skills to analyse sales data, helping businesses make informed decisions to drive growth.

Employee Satisfaction Survey Evaluation

Evaluating employee satisfaction surveys helps organisations understand their workforce’s needs and improve workplace morale. This project involves analysing survey data to identify areas for enhancement.

Prerequisites

• Basic understanding of survey design and metrics
• Familiarity with data analysis tools like Excel or Google Sheets
• Ability to interpret qualitative and quantitative data

How to Complete the Project

1. Design and Distribute Survey: Create and send out employee satisfaction surveys.
2. Collect and Organise Responses: Input survey results into a spreadsheet, categorising responses by department or role.
3. Analyse Data: Calculate average scores for different survey sections and identify common themes.
4. Identify Improvement Areas: Pinpoint specific aspects that need attention, such as work-life balance or career development.
5. Propose Action Plans: Suggest initiatives to address the identified issues.

Outcomes

• Improved understanding of employee satisfaction factors
• Skills in designing and analysing surveys
• Ability to develop actionable plans based on survey data

Tips for Success

• Ensure anonymity to get honest and accurate feedback
• Use a mix of question types for comprehensive insights
• Focus on actionable recommendations to drive real improvements

This project helps beginners learn how to assess and enhance employee satisfaction, a key aspect of organisational success.

Process Improvement for Order Fulfillment

Improving the order fulfilment process can lead to increased efficiency and customer satisfaction. This project focuses on analysing and optimising the steps involved in fulfilling customer orders.

Prerequisites

• Basic knowledge of order fulfilment processes
• Familiarity with process mapping tools (e.g., Microsoft Visio, Lucidchart)
• Analytical skills to identify inefficiencies

How to Complete the Project

1. Map Current Process: Create a flowchart of the existing order fulfilment steps.
2. Collect Performance Data: Gather information on processing times, error rates, and costs.
3. Identify Bottlenecks: Pinpoint stages where delays or errors frequently occur.
4. Suggest Improvements: Recommend changes such as automation or staff training to enhance efficiency.
5. Implement and Monitor: Apply the suggested improvements and track their impact on the process.

Outcomes

• Enhanced understanding of order fulfilment processes
• Ability to identify and address process inefficiencies
• Skills in process mapping and improvement planning

Tips for Success

• Engage with team members involved in the process for accurate insights
• Prioritise changes that offer the highest impact with minimal disruption
• Use visual aids to clearly communicate process changes to stakeholders

This project provides practical experience in streamlining business processes, leading to more efficient operations and better customer experiences.

Product Feature Comparison with Competitors

Comparing your product features with those of competitors helps identify strengths and areas for improvement. This project involves analysing and benchmarking product offerings against the competition.

Prerequisites

• Basic understanding of product features and competitive analysis
• Ability to gather and organise competitor information
• Analytical skills to compare and evaluate different features

How to Complete the Project

1. Identify Competitors: List primary competitors offering similar products or services.
2. Gather Product Information: Collect detailed information on your product and competitors’ features.
3. Create Comparison Matrix: Use a spreadsheet to list features side by side for easy comparison.
4. Analyse Strengths and Gaps: Assess how your product stands against competitors and identify missing features.
5. Recommend Enhancements: Suggest feature improvements or additions based on the comparison.

Outcomes

• Clear understanding of your product’s position in the market
• Ability to identify competitive advantages and weaknesses
• Skills in conducting comprehensive product comparisons

Tips for Success

• Use reliable sources for competitor information to ensure accuracy
• Focus on features that are most relevant to your target audience
• Keep the comparison objective and data-driven to support your conclusions

This project helps beginners learn how to evaluate products against competitors, a crucial step in product development and strategic planning.

Social Media Engagement Analysis for Small Businesses

Analysing social media engagement helps small businesses understand their online presence and improve their marketing strategies. This project involves examining social media metrics to enhance engagement and reach.

Prerequisites

• Basic knowledge of social media platforms (e.g., Facebook, Instagram, Twitter)
• Familiarity with social media analytics tools (e.g., Google Analytics, Hootsuite)
• Ability to interpret engagement metrics

How to Complete the Project

1. Select Platforms and Gather Data: Choose relevant social media platforms and collect metrics like likes, shares, and comments.
2. Analyse Content Performance: Determine which types of posts receive the most engagement.
3. Assess Posting Strategy: Evaluate the frequency and timing of posts to identify optimal patterns.
4. Compare with Competitors: Benchmark your engagement metrics against similar businesses.
5. Develop Improvement Strategies: Recommend changes such as posting more interactive content or adjusting posting times based on your analysis.

Outcomes

• Improved understanding of social media engagement metrics
• Ability to analyse and interpret social media data
• Skills in developing strategies to enhance online presence

Tips for Success

• Use visual tools to present engagement data clearly
• Focus on actionable insights that can directly improve engagement
• Regularly update your analysis to keep strategies aligned with current trends

This project equips beginners with the ability to analyse and enhance social media engagement, vital for effective digital marketing.

Basic Workflow Mapping for a Small Business Process

Mapping workflows helps visualise and understand business processes, making it easier to identify inefficiencies and areas for improvement. This project involves creating a workflow map for a specific business process.

Prerequisites

• Basic understanding of business processes and workflows
• Familiarity with workflow mapping tools (e.g., Microsoft Visio, Lucidchart)
• Ability to observe and document processes

How to Complete the Project

1. Choose a Process and Gather Information: Select a specific business process and collect detailed information through interviews and observations.
2. List Process Steps and Inputs: Document all the steps involved, noting the inputs and outputs for each stage.
3. Create the Workflow Diagram: Use a mapping tool to visually represent each step and its sequence.
4. Identify Inefficiencies: Look for steps that cause delays or require unnecessary resources.
5. Recommend Streamlining Actions: Suggest changes such as eliminating redundant steps or automating tasks to improve efficiency.

Outcomes

• Clear visualisation of a business process
• Ability to identify and address process inefficiencies
• Skills in using workflow mapping tools and techniques

Tips for Success

• Engage with team members to get accurate and comprehensive process information
• Keep the workflow map simple and easy to understand
• Focus on actionable improvements that can be realistically implemented

This project provides practical experience in mapping and improving business processes, a fundamental skill for any business analyst.

These minor projects are for a beginner to build solid groundwork or the foundation that will strengthen your business analysis skills through hands-on experience. By executing these projects, you will be much more aware and confident about the more difficult tasks or challenges that lie in the field.

5 Intermediate-level Business Analyst Projects

The intermediate-level projects are meant for the analyst who has mastered basic projects and they are now ready to move on to even more complex business analytical challenges. These projects help the analyst hone their analytical proficiency while also increasing the amount of knowledge they have about the organisation’s business operations. Let us explain each project in detail.

Designing a Customer Relationship Management (CRM) System

Creating a CRM system enhances how businesses manage interactions with customers. This project involves designing a system tailored to specific business needs.

Prerequisites

• Basic knowledge of CRM concepts
• Familiarity with CRM software (e.g., Salesforce, HubSpot)
• Understanding of database management

How to Complete the Project

1. Identify Business Needs: Determine what the business requires from a CRM system.
2. Gather Requirements: Collect input from stakeholders on desired features and functionalities.
3. Design System Architecture: Outline how different components of the CRM will interact.
4. Select Tools and Technologies: Choose appropriate software and tools for implementation.
5. Create a Prototype: Develop a basic version of the CRM to demonstrate its functionality.

Outcomes

• Comprehensive understanding of CRM systems
• Ability to design systems that meet business needs
• Skills in stakeholder communication and requirement gathering

Tips for Success

• Engage regularly with stakeholders to ensure alignment
• Keep the design user-friendly and intuitive
• Test the prototype thoroughly before full implementation

This project helps you develop the skills needed to design effective CRM systems, improving customer management and business efficiency.

Improving Recruitment Processes for HR Teams

Optimising recruitment processes can lead to better hiring outcomes. This project focuses on analysing and enhancing how HR teams attract and select candidates.

Prerequisites

• Basic understanding of recruitment and HR processes
• Familiarity with HR software (e.g., ATS systems)
• Analytical and problem-solving skills

How to Complete the Project

1. Map Current Recruitment Process: Document each step from job posting to onboarding.
2. Collect Data: Gather metrics on time-to-hire, cost-per-hire, and candidate satisfaction.
3. Identify Bottlenecks: Find stages where delays or inefficiencies occur.
4. Propose Improvements: Suggest changes like automating screening or enhancing interview techniques.
5. Implement and Monitor Changes: Apply the improvements and track their effectiveness over time.

Outcomes

• Improved recruitment efficiency and effectiveness
• Enhanced ability to analyse and optimise HR processes
• Skills in implementing and monitoring process changes

Tips for Success

• Involve HR team members to gain insights and buy-in
• Prioritise changes that offer the most significant impact
• Use data-driven approaches to validate improvements

This project enables you to enhance recruitment processes, leading to better talent acquisition and organisational growth.

Sales Pipeline Analysis and Optimisation

Analysing the sales pipeline helps businesses understand their sales processes and identify areas for improvement. This project focuses on evaluating and optimising each stage of the sales funnel.

Prerequisites

• Basic knowledge of sales processes and pipeline stages
• Proficiency in CRM tools and sales analytics
• Analytical and strategic thinking skills

How to Complete the Project

1. Map the Current Sales Pipeline: Document each stage from lead generation to closing deals.
2. Collect Sales Data: Gather metrics on conversion rates, lead sources, and sales cycle length.
3. Analyse Performance: Identify which stages have the highest drop-off rates.
4. Identify Improvement Areas: Find ways to enhance lead nurturing and reduce cycle times.
5. Implement Optimisation Strategies: Apply changes such as better lead qualification or targeted follow-ups.

Outcomes

• Clear understanding of sales pipeline dynamics
• Ability to identify and address inefficiencies in the sales process
• Enhanced sales performance and higher conversion rates

Tips for Success

• Use visual tools to track and present pipeline metrics
• Continuously monitor and adjust strategies based on performance data
• Collaborate with the sales team to ensure practical and effective improvements

The project equips an individual to analyse and improve the sales pipeline, increasing sales and growth for any business.

Creating a Dashboard for Key Performance Indicators (KPIs)

A dashboard for KPIs enables a business to monitor its activities in real time. This project would include creating and implementing the dashboard according to the specific needs of a business.

Prerequisites

• Understanding of key performance indicators relevant to the business
• Proficiency in dashboard tools (e.g., Tableau, Power BI)
• Data visualisation skills

How to Complete the Project

1. Identify relevant KPIs: Identify the most critical metrics that enable one to reflect on the business’s performance.
2. Gather Data Sources: Gathering data from systems or sources and making sure it is correct and up to date.
3. Create Dashboard Layout: Design the visual layout for clarity and ease of use.
4. Build the Dashboard: Create visualisations of the KPIs on the dashboard using dashboard-building tools.
5. Testing and Improvement: Validate the dashboard with all stakeholders and make adjustments as necessary for accuracy and usability.

Outcomes

• Ability to create effective KPI dashboards
• Skills in data visualisation and tool usage
• Enhanced capability to monitor and report on business performance

Tips for Success

• Keep the dashboard simple and focused on key metrics
• Ensure real-time data updates for accurate monitoring
• Gather feedback from users to improve dashboard functionality

This project helps you develop the skills to create impactful KPI dashboards, enabling businesses to make informed decisions based on real-time data.

Risk Assessment for a New Marketing Campaign

Assessing risks in marketing campaigns ensures better preparedness and successful execution. This project involves identifying and evaluating potential risks associated with a new campaign.

Prerequisites

• Basic understanding of marketing strategies and campaigns
• Familiarity with risk assessment techniques
• Analytical and strategic planning skills

How to Complete the Project

1. Define Campaign Objectives: Clearly outline the goals and scope of the marketing campaign.
2. Identify Potential Risks: List possible risks such as budget overruns, low engagement, or negative feedback.
3. Assess Risk Impact and Likelihood: Evaluate the severity and probability of each identified risk.
4. Develop Mitigation Strategies: Create plans to minimise or manage each risk effectively.
5. Create a Risk Management Plan: Document the identified risks, their assessments, and the mitigation strategies for reference during the campaign.

Outcomes

• Enhanced ability to identify and evaluate marketing risks
• Skills in developing effective risk mitigation strategies
• Improved preparedness for managing campaign challenges

Tips for Success

• Involve the marketing team to gain comprehensive risk insights
• Prioritise risks based on their potential impact
• Regularly review and update the risk management plan as the campaign progresses

This project is going to teach a candidate about making assessments to find out the risks in marketing campaigns so that they could be tailored to be more prepared in the future.

Such intermediate-level projects are about working beyond basic skills into more advanced areas that can be used to complete more difficult business analysis tasks that can contribute much to organisational success.

4 Advanced-level Business Analyst Projects

Advanced projects are fit for seasoned business analysts gearing themselves for more challenging analytical issues. They required deep analytical skills, strategic thinking, and the power to implement complicated solutions. Let’s see what each advanced project entails.

Implementation of Predictive Analytics for Customer Retention

Predictive analytics used for retaining customers makes it possible for businesses to follow customers and their needs and take action before the customers even realise that there’s a need. The project aims at developing models that increase customers’ loyalty.

Prerequisites

• Strong understanding of statistical analysis and machine learning
• Experience with analytics tools like Python, R, or SAS
• Knowledge of customer behaviour and retention strategies

How to Complete the Project

1. Gather Customer Data: Collect historical data on customer interactions, purchases, and demographics.
2. Clean and Prepare Data: Ensure data quality by handling missing values and outliers.
3. Select Predictive Models: Choose appropriate algorithms (e.g., logistic regression, decision trees) for retention prediction.
4. Train and Validate Models: Use training datasets to build models and validate their accuracy with testing data.
5. Deploy and Monitor: Implement the predictive model in a live environment and continuously monitor its performance.

Outcomes

• Ability to develop and implement predictive models for customer retention
• Enhanced understanding of customer behavior and factors influencing loyalty
• Skills in using machine learning tools for business applications

Tips for Success

• Focus on high-quality, relevant data to improve model accuracy
• Continuously refine models based on new data and feedback
• Collaborate with marketing and sales teams to apply insights effectively

This project enhances your ability to use predictive analytics for strategic decision-making, driving customer retention and business growth.

Financial Impact Analysis of Business Expansion Plans

Evaluating the financial implications of expanding a business ensures informed decision-making and risk management. This project involves analysing potential financial outcomes of expansion initiatives.

Prerequisites

• Strong background in financial analysis and modeling
• Proficiency in financial software like Excel or specialised financial tools
• Understanding of business expansion strategies and market analysis

How to Complete the Project

1. Define Expansion Scope: Outline the objectives, scale, and timeline of the expansion plan.
2. Gather Financial Data: Collect historical financial statements and projections related to the expansion.
3. Conduct Cost-Benefit Analysis: Evaluate the expected costs versus the projected benefits of the expansion.
4. Develop Financial Models: Create models to forecast revenue, expenses, and profitability post-expansion.
5. Present Findings: Compile a comprehensive report detailing the financial impacts and recommendations.

Outcomes

• Proficiency in conducting detailed financial impact analyses
• Ability to forecast financial outcomes of business initiatives
• Enhanced decision-making skills based on financial insights

Tips for Success

• Use realistic assumptions to ensure accurate financial projections
• Incorporate sensitivity analysis to assess different scenarios
• Clearly communicate financial findings to stakeholders for informed decisions

This project strengthens your ability to analyse and predict the financial outcomes of business expansion, ensuring sustainable growth and profitability.

Building an Automated Reporting System for Decision Making

An automated reporting system streamlines data reporting, enabling timely and informed business decisions. With this project, such a system should be created for automating data collection, analysing and reporting.

Prerequisites

• Knowledge of business intelligence and reporting tools (e.g., Tableau, Power BI)
• Experience with automation tools and scripting languages
• Understanding of key business metrics and reporting requirements

How to Complete the Project

1. Identify Reporting Needs: What are the core metrics and reports that each of the stakeholders is after?
2. Select Tools and Technologies: Choose the right set of BI and automation tools for the reporting system.
3. Design Data Flow: Map out how data will be collected, processed, and visualised.
4. Development of Automated Processes: Write scripts or workflows to automate the ETL process.
5. Implement and Test: Set up the reporting system, carry out tests to ensure accuracy, and put it in for daily use.

Outcomes

• Ability to design and implement automated reporting systems
• Enhanced efficiency in data reporting and analysis
• Skills in using BI and automation tools for business intelligence.

Tips for Success

• Ensure data sources are reliable and consistently updated
• Design user-friendly dashboards that meet stakeholder needs
• Regularly maintain and update the system to accommodate changing requirements

This project equips you with the skills to build efficient automated reporting systems, facilitating better and faster business decision-making.

Integration of Machine Learning for Demand Forecasting

Incorporating machine learning into demand forecasting improves accuracy and helps businesses anticipate market needs. This project focuses on developing machine learning models to predict future demand.

Prerequisites

• Advanced knowledge of machine learning algorithms and techniques
• Proficiency in programming languages like Python or R
• Experience with data preprocessing and model evaluation

How to Complete the Project

1. Collect Historical Sales Data: Gather data on past sales, including seasonal trends and external factors.
2. Preprocess Data: Clean and prepare the data for machine learning, handling missing values and normalising features.
3. Select and Train Models: Choose suitable algorithms (e.g., ARIMA, neural networks) and train them on the dataset.
4. Evaluate Model Performance: Use metrics like MAE, RMSE to assess model accuracy and reliability.
5. Deploy and Monitor: Implement the best-performing model in a live environment and continuously monitor its predictions.

Outcomes

• Expertise in applying machine learning to demand forecasting
• Improved accuracy in predicting future sales and market trends
• Skills in developing and deploying machine learning models

Tips for Success

• Use diverse and comprehensive data to enhance model performance
• Regularly update models with new data to maintain accuracy
• Collaborate with sales and marketing teams to align forecasts with business strategies

This project increases one’s capacity for utilising machine learning in accurate demand forecasting while improving inventory management as well as planning for the entire organisation.

These advanced projects are meant to empower you to tackle some of the most challenging and difficult business problems, thus increasing your skill set and enhancing your value proposition in the business analyst field.

Conclusion

Business analyst projects are great for gaining experience and honing your skills at any level of expertise. From simple beginner projects like workflow mapping to advanced tasks such as integrating machine learning for forecasting, they all give real-life perspective and practical knowledge.

These projects improve a person’s technical and analytical ability and enhance his/her ability to solve business problems. These projects prepare you for a successful career in business analysis, whether you are just starting out or already advanced. Try Hero Vired’s Accelerator Program in Business Analytics and Data Science with edX and Harvard University aligned with Nasscom to gain more business analysis knowledge with professional guidance and certification.