6 Best Computer Courses after BA Economics [Future Proof your Career]

If you’ve completed your BA in Economics, you may wonder what computer course to pursue next. Well, we’re here to help. In this blog post, we’ll explore some exciting computer courses that can enhance your skills and open up new opportunities in economics.

We’ll also provide information about the job opportunities, fees, and duration of each course so that you can plan accordingly. So, if you’re ready to dive into the fascinating world of computers and economics, keep reading to discover the best computer course after BA Economics.

Why Computer Course for BA Economics Students?

After you finish studying economics in college, learning about computers is a good idea too. In the BA Economics program, you learn about big data, economics, and math. You probably know that jobs in economics are changing and becoming more digital. That’s why it’s important to learn computer skills. It doesn’t just make you better at what you do, but it also helps you prepare for the future and make sure your career stays strong.

When you learn about computers, you can use special programs and tools that economists use. These tools help you understand and work with big sets of data. You can make cool graphs and charts to show information in a way that’s easy to understand. These skills are really helpful and can make it easier for you to get a good job.

Also, learning about computers is important because more and more jobs in economics are using digital technology. By learning computer skills, you can keep up with these changes and be ready for the future. You can also learn about artificial intelligence, which is when computers can think and learn like humans.

So, learning about computers after studying economics is a smart move. It helps you become even smarter and prepares you for jobs that use computers and new technology. It’s like adding an extra tool to your toolbox to help you in the future.

Best Computer Course after BA Economics

Data Analysis and Visualization2-3 monthsINR 500 to INR 10,000
MS Office3-6 months INR 500 to INR 10,000
Python3-6 monthsINR 2,000 to INR 6,000
R Programming2-6 months INR 1,000 to INR 10,000
Data Science 6-12 monthsINR 50,000 to INR 2,00,000
SQL1-6 months INR 2,000 TO INR 6,000

Data Analysis and Visualization Computer Course

Data Analysis and Visualization is an essential computer course after completing a BA in Economics. As a graduate, I understand the importance of data and how data visualization and analytics help us extract valuable insights from large amounts of information.

Data visualization is like a visual tool that helps us understand complex data by presenting it in easy-to-understand graphs, charts, and diagrams. It allows us to see patterns, trends, and relationships that might be hidden in the raw data. It equips individuals with valuable skills in working with large sets of data and presenting it visually for effective communication.

This course is highly relevant in today’s data-driven world, where making sense of information is crucial.MS Office is an indispensable tool in data analysis and visualization courses. Students learn to utilize applications such as Excel, PowerPoint, Word, and Access to organize, analyze, and present data effectively.

Application in Economics: By completing a Data Analysis and Visualization course, you will gain proficiency in various areas, including:

  1. Data preprocessing and cleaning: Learn how to clean and organize data to ensure its accuracy and reliability for analysis.
  2. Exploratory data analysis: Develop skills to examine and summarize data using statistical techniques and visualizations to uncover patterns, trends, and relationships.
  3. Data visualization techniques: Gain expertise in creating impactful visual representations of data through charts, graphs, and interactive dashboards using tools like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn.
  4. Statistical analysis: Learn statistical methods and techniques to derive meaningful insights from data, perform hypothesis testing, and make data-driven decisions.

Duration: The duration of a Data Analysis and Visualization course varies depending on the program and institution. It can range from 2-3 months, depending on the depth of the curriculum.

Fee: Online platforms like Udemy and Coursera offer data analysis and visualization courses at varying prices. The cost of these courses can range from INR 500 to INR 10,000, depending on factors such as the course rating and the instructor’s expertise.

Career Opportunities: A strong foundation in data analysis and visualization opens up a wide range of career opportunities, including:

  1. Data Analyst: Analyze and interpret data to provide insights and support decision-making processes.
  2. Business Intelligence Analyst: Create visual reports and dashboards to help businesses understand and utilize their data effectively.
  3. Data Scientist: Apply advanced statistical techniques and machine learning algorithms to extract insights and build predictive models.
  4. Market Research Analyst: Analyze market trends and consumer data to provide valuable insights for marketing strategies.

MS Office Diploma and Certificate Computer Course

MS Office is another computer course for BA economics students. It’s a really useful computer diploma course, especially if you’re interested in the financial sector. MS Office is a collection of software programs like Word, Excel, PowerPoint, and Outlook. Each of these programs helps you do different things. For example, MS Word is great for creating and editing documents, while MS Excel is all about working with numbers, doing calculations, and even making financial models.

MS Office is vital because it teaches you how to use these programs to write reports, analyze data, make presentations, and communicate with others. It’s like having a super toolbox of computer skills that can help you with lots of different tasks.

MS Office is highly relevant and beneficial for A Economics graduates as it offers a range of tools that can enhance productivity and streamline the work process.

Application in Economics: The MS Office course typically covers the following applications:

  1. MS Word: Learn how to create, edit, and format documents, including reports, research papers, and project documentation. Gain skills in formatting text, working with tables and graphics, and using features like spell check and mail merge.
  2. MS Excel: Develop proficiency in using Excel for data analysis, calculations, and financial modeling. Learn about functions, formulas, and tools for data manipulation, sorting, filtering, and creating charts and graphs.
  3. MS PowerPoint: Acquire skills in creating visually appealing and engaging presentations. Learn how to organize content, design slides, add multimedia elements, and deliver impactful presentations.
  4. MS Outlook: Explore the features of Outlook for effective email management, scheduling appointments, organizing tasks, and maintaining contacts. Learn how to use calendar functions, set up meetings, and manage your email inbox efficiently.

Duration: The duration of the MS Office course is 3-6 months.

Fee: The fee for the MS Office course can vary depending on where you choose to learn it. In some places, like training centers or universities, the fee can range from 1,000 to 10,000. However, if you prefer learning online on platforms like Udemy, the cost can be as low as 500. Online platforms often offer more affordable options to learn MS Office, making it accessible to a wider range of learners. So, if you’re looking for a budget-friendly way to learn MS Office, Udemy and similar platforms can be a great choice.

Job Opportunities:

  1. Financial Analyst: Apply your understanding of economics alongside MS Excel and PowerPoint to perform financial analysis, forecast trends, and create comprehensive reports for financial decision-making.
  2. Market Research Analyst: Use MS Word and Excel to conduct market research, analyze consumer behavior, and provide strategic recommendations to help businesses thrive in competitive markets.
  3. Business Development Associate: Leverage MS PowerPoint to create persuasive presentations, showcasing economic analyses and proposals to attract potential clients and drive business growth.
  4. Policy Analyst: Combine your economic expertise with MS Word and Excel to research and evaluate policies, preparing reports and briefings for government agencies or non-profit organizations.

Python Certificate Course

Python is a popular programming language that is widely used in various fields, including data analysis, web development, artificial intelligence, and automation. Learning Python is highly beneficial for BA Economics graduates as it provides them with programming skills that can be applied in economic analysis, data processing, and automation of repetitive tasks.

Python course focuses on teaching the fundamentals of programming using the Python language. It covers topics such as variables, data types, loops, conditional statements, functions, and file handling. Additionally, the course may introduce libraries and frameworks commonly used in economic analysis, such as NumPy, Pandas, and Matplotlib.

Application in Economics: Python offers several applications in the field of economics.

  1. Data Analysis: Python, along with libraries like Pandas and NumPy, provides powerful tools for data manipulation, cleaning, and analysis. These skills are crucial for working with large datasets, performing statistical analysis, and generating insights.
  2. Economic Modeling: Python allows economists to build economic models and simulations. With libraries like SciPy, economists can implement mathematical models, solve optimization problems, and simulate economic scenarios.
  3. Web Scraping: Python’s libraries, such as BeautifulSoup and Scrapy, enable economists to extract data from websites. This is useful for gathering economic data, news, or research papers from online sources.
  4. Automation: Python’s simplicity and versatility make it suitable for automating repetitive tasks. Economists can use Python to automate data processing, report generation, or data collection processes, saving time and effort.

Duration: The Python course lasts for a flexible duration of 3-6 months and it also depends upon your learning skill.

Fee: The fee for the Python course ranges from INR 2000 to INR 6000, but online platforms like Udemy often offer it at a discounted price of INR 500.

Career Opportunities: Python skills are highly sought after in the job market. BA Economics graduates with Python proficiency can explore various career paths, such as:

  1. Data Analyst: Utilize Python for data manipulation, analysis, and visualization to derive meaningful insights.
  2. Economic Consultant: Apply Python to build economic models, conduct simulations, and perform quantitative analysis.
  3. Research Analyst: Use Python to gather and analyze economic data, and automate research processes.
  4. Policy Analyst: Leverage Python for data-driven policy analysis and decision-making.

R Programming Certificate Course

R Programming is a programming language and software environment widely used for statistical computing, data analysis, and visualization. It is precious for BA Economics graduates as it provides them with a powerful tool for handling and analyzing data efficiently and comprehensively. The R Programming course focuses on teaching the fundamentals of the R language and its application in data analysis and statistical modeling. It covers topics such as data manipulation, data visualization, statistical analysis, and the use of R packages.

Applications in Economics: R offers various applications in the field of economics.

  1. Data Analysis: R provides a wide range of tools and libraries specifically designed for data analysis. It enables economists to import, clean, and transform data, perform statistical calculations, and generate visualizations for effective data exploration.
  2. Econometrics: R is extensively used in econometrics, which is the application of statistical methods to economic data. It offers specialized packages for conducting regression analysis, time series analysis, panel data analysis, and other econometric techniques.
  3. Data Visualization: R’s data visualization capabilities are highly regarded. With packages like ggplot2 and lattice, economists can create visually appealing and informative charts, graphs, and plots to present their findings and communicate insights effectively.
  4. Reproducible Research: R promotes reproducibility by enabling economists to document and share their code, data, and analysis steps. This fosters transparency, allows others to replicate and validate results, and encourages collaboration within the research community.

Duration: The duration of the R programming course can vary, typically ranging from a few weeks to several months, depending on the specific program or institution offering the course.

Fee: The fee for the R programming course typically ranges from 1000 to 10000 INR, but online platforms often offer it at a discounted price of 500 INR.

Career Opportunities: Proficiency in R Programming opens up diverse career opportunities for BA Economics graduates. Here are a few potential career paths:

  1. Data Analyst: Use R for data cleaning, statistical analysis, and visualization to extract economic data insights.
  2. Research Economist: Apply R to perform advanced econometric modeling, analyze economic trends, and conduct data-driven research.
  3. Policy Analyst: Utilize R for data analysis and visualization to support evidence-based policy decision-making.
  4. Data Scientist: Combine R programming skills with other data science techniques to solve complex economic problems and build predictive models.

Data Science Diploma Course

Data Science is a multidisciplinary field that combines techniques from statistics, mathematics, and computer science to extract insights and knowledge from large and complex datasets. It is an excellent course choice for BA Economics graduates as it equips them with advanced skills in data analysis, predictive modeling, and machine learning. The Data Science course covers various topics related to data analysis, statistical modeling, and machine learning. It typically includes modules on data preprocessing, exploratory data analysis, predictive modeling, data visualization, and the use of programming languages such as Python or R.

Applications in Economics: Data Science offers several applications in the field of economics. Here are a few examples:

  1. Predictive Modeling: Data Science enables economists to build predictive models that forecast economic trends, consumer behavior, and market dynamics. These models help inform decision-making processes and support strategic planning.
  2. Data-driven Insights: By applying advanced statistical techniques and machine learning algorithms, Data Science allows economists to extract meaningful insights from complex economic datasets. These insights can inform policy recommendations, investment strategies, and business decisions.
  3. Economic Forecasting: Data Science techniques can be used to analyze historical economic data and develop forecasting models. This helps economists predict future economic conditions and make informed projections.
  4. Market Research and Customer Analytics: Data Science methodologies assist economists in analyzing market trends, conducting customer segmentation, and identifying patterns and preferences. This information is valuable for targeting specific customer groups and optimizing marketing strategies.

Duration: The duration of the data science course is between 6 months to 1 year.

Fee: The cost of a comprehensive data science course in India usually falls between 50,000 INR and 2,00,000 INR. However, if you are looking to learn the basics of data science, you can opt for an affordable Udemy course priced at only 499 INR.

Career Opportunities: Data Science skills are in high demand across various industries. BA Economics graduates with expertise in Data Science can pursue the following career paths:

  1. Data Analyst: Utilize Data Science techniques to extract insights and analyze economic data.
  2. Business Analyst: Apply Data Science methodologies to evaluate business performance, optimize operations, and identify growth opportunities.
  3. Data Scientist: Employ advanced statistical techniques and machine learning algorithms to solve complex economic problems and develop predictive models.
  4. Market Research Analyst: Use Data Science to analyze market trends, consumer behavior, and competitive landscapes to guide marketing strategies.

SQL Certificate Couse

SQL stands for Structured Query Language and is a programming language used for managing and manipulating relational databases. Learning SQL is highly beneficial for BA Economics graduates as it provides them with the skills to effectively work with data stored in databases, which is essential for economic analysis, data management, and reporting. The SQL course focuses on teaching the fundamentals of working with relational databases. It covers topics such as database design, querying data, modifying data, creating tables and views, and performing advanced data operations.

Applications in Economics: SQL has several applications in the field of economics. Here are a few examples:

  1. Data Retrieval and Analysis: SQL allows economists to retrieve and analyze data stored in databases efficiently. They can write queries to extract specific data subsets, perform aggregations, filter results, and join multiple tables to gain insights and answer economic research questions.
  2. Data Manipulation: SQL provides the ability to modify data in databases, such as updating records, inserting new data, and deleting unwanted data. This is useful for cleaning and transforming data, ensuring data integrity, and preparing data for further analysis.
  3. Database Management: SQL enables economists to design and manage databases effectively. They can create tables, define relationships between tables, set constraints, and optimize database performance. This skill is crucial for organizing and maintaining large datasets.

Duration: The duration of an SQL course typically ranges from 1 to 6 months.

Fee: The fee of the SQL course is INR 2,000 to 6,000.

Career Opportunities: SQL skills are highly valuable in various job roles that involve data management and analysis. BA Economics graduates with SQL proficiency can explore the following career paths:

  1. Data Analyst: Utilize SQL to extract, analyze, and interpret economic data from databases for insights and reporting.
  2. Business Intelligence Analyst: Apply SQL to gather and analyze data to support business decision-making and reporting.
  3. Database Administrator: Use SQL to manage and maintain databases, ensuring data security, integrity, and performance.
  4. Data Engineer: Apply SQL in database design, optimization, and data integration processes to support data pipelines and analytics infrastructure.


After completing your BA in Economics, choosing the right computer course can be super exciting for your future career. By learning about data analytics, programming, financial technology, and machine learning, you can gain awesome skills and open doors to cool job opportunities. The job world is changing fast, so staying ahead is really important. Taking these computer courses can help you do that and make you a superstar in both economics and technology. So, Take this chance to explore the best computer course after BA Economics and start your amazing journey to success.