/How to become a data analyst after B.Com; List of online and offline courses

How to become a data analyst after B.Com; List of online and offline courses

Data science is one of the fastest expanding industries in the world, with numerous applications across a wide range of organizations and businesses. Data analysis is one of the highest-paying jobs in the world, and the role of data analysts has become critical to the survival of companies.

How to become a data analyst after B.Com

Data specialists are in high demand in IT and non-IT areas such as finance, insurance, banking, and e-commerce. Due to their strong quantitative skills and knowledge of business operations, trade and business graduates have a distinct approach to analytics.

As a result, financial experts with data analysis skills are considered very competitive in the industry. A second certification in data analytics can improve the employment prospects of commerce graduates. Due to their strong quantitative skills and knowledge of business operations, trade and business graduates have a distinct approach to analytics. As a result, financial experts with data analysis skills are considered very competitive in the industry.

Anyone who is interested in numbers and whose analysis shines will be a great choice. A BCOM graduate has a strong statistical understanding and mathematical skills, putting you ahead of the competition when it comes to data analysis.

Here is a list of some online and offline data analyst courses that you can follow to excel in data analysis.

Offline Data Analysis Courses

M.Sc. in Data Science Accredited by the UGC

This Master of Science program is intended for professionals who want to advance their careers. The curriculum will provide you with the technical skills necessary to launch a successful career in data science. The curriculum aims to prepare you for analytical and leadership roles in a variety of industries by combining machine learning, big data analytics, and statistics. Gain experience in machine learning applications, predictive modeling, solving problems with real-world data, teamwork, developing strategic and tactical suggestions, and managing processes, work, and people.

Master’s Degree in Machine Learning and Data Science

You’ll gain a deep understanding of machine learning methodologies, as well as vital practical skills and guided experience applying them to real-world problems. The curriculum is designed to advance your engineering or data science career, allowing you to take the path that is best for you, whether it be a role as a data scientist, machine learning engineer, or computational statistician.

MSc in Applied Data Science

You will have the unique opportunity to gain a comprehensive perspective on data science and prepare for leadership in the field through this online degree program. As a MADS student, you’ll learn the fundamentals of big data, data ethics, data privacy, machine learning, natural language processing, network analysis, and more.

How to become a data analyst after B.Com

Working with real data sets from leading companies allows you to apply what you’ve learned, build your portfolio, and be prepared to advance a successful data science career in any field.

Master of Science in Data Science

If you want to work in data science, the Master of Data Science (MS-DS) is a great option, regardless of your educational background. You will learn theory, methodologies, tools, and programming languages, which will prepare you for a wide range of data scientist professions.

Online Data Analysis Courses

Big Data Analytics with Tableau – Pluralsight

The training will focus on big data analytics and how to access and visualize big data with Tableau. Pluralsight’s Analyzing Big Data with Tableau course will not only enhance students’ understanding of big data, but will also teach them how to access big data systems using Tableau Software.

The course is taught by Ben Sullins, who has 15 years of experience in the industry and has provided consulting services to organizations such as Facebook, LinkedIn and Cisco.
Sullins shares his knowledge with students in bite-sized bites of content. Students must have some knowledge of data analysis.

Rates – INR 1499/month

Data Analytics Bootcamp: Springboard

The Bootcamp covers fundamental ideas in corporate statistics, as well as advanced analysis methodologies, as well as how to use analysis and visualization technologies such as Excel, Python, SQL, Tableau, and Microsoft Power BI.

Springboard’s Data Analytics Bootcamp, developed in conjunction with Microsoft, is a six-month career-focused curriculum with an employment guarantee. The entire course takes around 320 hours, or 6 months to complete. Most of the students dedicate 15 to 20 hours per week to the training. In addition, each student is entitled to unlimited calls from mentors and more than 50 hours of professional support.

Rates – Free

Data analyst with R – DataCamp

DataCamp Data Analyst with R provides short learning materials curated by data industry experts. The Data Analyst with R Career Track at DataCamp is made up of 19 data science analytics courses curated by industry experts to help students launch a career in data science. Because each run is around 4 hours long, the entire track should take around 77 hours to complete. It will help students get the desired job in data analysis no matter how much free time they have to study. After completing this course, students will be able to manage and analyze data using R.

Rates – Free

Data Analyst Nanotitle

Udacity’s Data Analyst Nanodegree will help students gain the information and skills necessary to create a career in data analytics. In addition to addressing theoretical and practical exercises, the curriculum offers 1-on-1 mentoring calls and one-of-a-kind career support services.

If students do not meet the prerequisites for this program, a similarly organized entry-level Nanodegree called Programming for Data Science is offered.
This curriculum is best suited for students who have previous experience with Python (especially NumPy and Pandas) and SQL programming. The beginner level program teaches students the fundamentals of Python programming from a data science perspective.

Rates – 22,849/month

Comprehensive Data Science Bootcamp – Udemy

While the course was first delivered in 2020, it has been revised for 2023 with new learning materials. Data Science Course 2023: Full Data Science Bootcamp is a comprehensive data science course with 471 lectures offered on Udemy. The conferences contain approximately 30 hours of video on demand, 90 articles, and 154 downloadable resources. As part of this course, students can expect to master in-demand data science skills such as Python and its libraries, machine learning, statistics, and Tableau.

Rates – INR 3499

Become a Data Analyst – LinkedIn Learning

There are no requirements to follow this educational path.
Students do not even need to understand the concept of data analysis.
This path consists of seven courses: This course covers topics such as Learning Data Analysis, Data Fluency: Exploring and Describing Data, Excel Statistics Essentials Training: 1, Learning Excel: Data Analysis, Learning Data Visualization , Power BI Essential Training, and Tableau Essential Training. Each course has a different duration.
Most classes, on the other hand, are between two and four hours long, allowing students to finish the entire curriculum in about 24 hours.

Rates: INR 762.71/month

Best Indian Universities to Study Data Analytics

Currently, 152 universities in India offer data analysis courses. Several universities stand out from the rest due to their high placement rates.

The following is a list of the best data analytics universities in India.

  • Goa Institute of Management (GIM)
  • Universal Business School, Mumbai