Data Analytics Job Bootcamp

The Data Analytics Job Bootcamp is an exclusive program aimed at transforming individuals from beginners to proficient Data Analysts in a span of 6 months.

You can request a refund within 7 days of your batch start date.

The Job Bootcamp is open to working professionals, final-year college students, and fresher graduates from any industry or domain.

The duration of the program is 6 months (learning phase), along with placement support until you secure your first job. Additionally, you will continue to have access to the content for 21 months from your batch start date.

According to our records, 95% of learners who completed the program have secured suitable job opportunities. Coding Ninjas has consistently delivered on its promises and is a trusted name in the education industry, with experience in upskilling over 1,50,000 learners. We will create your profile, assist you in preparing your resume, conduct mock interviews, and do everything we can to help you land a job.

Industry mentors are experts from reputed companies who have proven competencies in specific fields and are excellent guides to help you determine your next steps in the industry. They will conduct mock interviews with you on a one-on-one basis and provide detailed feedback.

After completing the program, you'll qualify for a range of job positions, such as Data Analyst, Business Analyst, Data Visualization Analyst, Statistical Analyst, and other related analytical roles in the industry.

Our learners are employed at over 1,200 companies that have hired from us in the past. More than 1,400 of our alumni are placed in MAANG companies, and many are also employed in 103 out of 116 Indian unicorns.

Our team of over 1,000 teaching assistants is available 7 days a week from 10 AM to 12 AM to provide one-on-one support. You can connect with them via chat, audio call, or screen sharing to resolve your queries.

We believe that a degree is no substitute for determination and a passion for learning. That's why we welcome individuals from any and every background to join the program.

Yes, if you apply for a job opening through the Coding Ninjas placement cell and are selected, we expect you not to back out. However, you are welcome to apply for other job openings through our placement cell, but only if the minimum CTC offered is at least 50% higher than the job secured already by you through us. This policy applies specifically to the Coding Ninjas placement cell; you are free to apply for any opportunities outside of it without any restrictions.

The classes will be conducted online. There will be three live classes each week, lasting 2 hours from 9 to 11 PM on MWF/TTS (can vary batch to batch) Additionally, regular assignments and unlimited doubt support will be provided.

Our typical batch size ranges from 75 to 100 learners, allowing for collaborative learning while still ensuring personalized attention from instructors.

Although classes are scheduled in such a way that it should not be an issue but if you are unable to attend a class for any reason, we provide recordings of all classes on your dashboard for you to access after the session.

After completing the program with the minimum requirement and clearing the placement eligibility criteria, you can start applying for all relevant opportunities.

Yes, this program covers Python, starting with the basics of Python programming and encompassing all data analytics concepts using Python. You will undertake multiple Python data analysis projects to demonstrate how data analysts use Python to solve real business problems. By the end of the program, you will be a Python expert.

Yes, the curriculum includes 10+ engaging case studies, that will be reviewed by certified experts to ensure you receive valuable feedback and guidance.

Yes, we offer Machine Learning as an optional module in a pre-recorded format, accessible 7 days after the batch start date. Projects and teaching assistance support are also available. Please note that there will be no placement opportunities related to this module.