Data Science Courses – Jigsaw Academy


  • Jigsaw Academy was established in 2011 by Sarita Digurmarti and Vohra Gaurav.
  • The institution was established to train individuals on data management, analytics, and the power of big data.
  • Since its establishment, the institution has grown tremendously and it now offers more than 30 data-related courses.
  • It has been recognized as the best data analytics institution in India on several occasions.

List of Courses Offered 

Jigsaw Academy Data Science Courses Details

1. Postgraduate Program in Data Science & Machine Learning 

  • In-person classroom sessions are held during weekends. Students can choose to go to the lessons in Delhi or Bangalore.
  • All students are expected to attend at least 8-weekend classroom sessions. During these hours, they will undergo intense case study analysis and practical work.
  • Students must undertake a capstone project towards the end of the program.
  • Students cover several data analytical tools including Big Data, Hadoop, SparkMLlib, Tableau, Python, TensorFlow, Spark, and MapReduce.
  • All candidates must cover the following modules:
    • Introduction to Analytics
    • Data Science with Python
    • Data Understanding and Preparation 
    • Data Visualization and Storytelling 
    • Predictive Modelling with Python
    • Big Data Engineering
    • DL, AI, and TensorFlow
    • Advanced Analytics and Machine Learning
  • Common teaching techniques include simulations, seminars, conferences, and field trips

2. Data Science Bootcamp Training 

  • This course is designed to allow graduates to establish a career in data analytics.
  • All students master various analytical tools including Tableau, SQL, Python, R, and SPSS.
  • Students have access to industry experts and stalwarts.
  • All students must undertake a capstone project which imparts data analysis skills required in a real-world business environment.
  • Students can access multiple case studies and other learning materials through mobile devices.

3. Full Stack Machine Learning & AI Certification Program 

  • The programs provide in-depth knowledge in Machine Learning, Artificial Intelligence, and Deep Learning.
  • Students learn how to apply ML and AI in both structured and unstructured data. This may include video data, texts, images, and audio.
  • All students must cover TensorFlow, Python, Keras, NumPy, and R comprehensively.
  • Students must undertake a capstone project to enable them to get hands-on experience in data analysis.
  • The program uses up-to-date learning techniques including case studies analysis, group discussions, seminars, and conferences.

4. Full Stack Data Science Program 

  • It equips students with knowledge and skills of using Python, R, Keras, Tableau, SQL, Anaconda, and TensorFlow analytical tools.
  • It is validated by NASSCOM. 
  • All candidates must cover the following courses before graduating:
    • Overview of Analytics
    • R for Data Science
    • Probability and Statistics
    • Data Wrangling and EDA with R
    • Hypothesis Testing 
    • Predictive Analysis with R
    • Machine Learning Models with Python
    • Python for Data Science and Machine Learning
    • Storytelling with Data using Tableau 
  • All candidates must undergo a capstone project and final certification exam

5. HR Analytics 

  • Students get in-depth insights into using Excel applications in data analysis. 
  • Some of the critical courses offered include:
    • Predictive analysis
    • Workforce analytics
    • Analytics in talent management 
    • Improving measurement maturity
    • The business value of retention
    • Advanced analytics
  • All students must analyze different case studies to help them apply their knowledge to real HR cases. The case studies must include the following topics:
    • The business value of retention
    • Understanding compensation data (using measures of central tendency)
    • Workforce planning simulation
    • Optimizing hiring strategies
    • Understanding correlation by applying survey data
    • Logistic regression

6. Machine Learning with PySpark for Big Data 

  • The curriculum is designed to help students acquire skills in Python and Scala Language in the analysis of big data.
  • Some of the tools taught in this program include Spark Streaming, RDD Operations, Dataframe, Shared Variables, and Spark SQL.
  • The course is characterized by numerous case studies to enable the students to get hands-on application experience.

7. Data Science with Python 

  • The course is designed to strengthen the skills of students in different areas including Python Programming, Data Handling, Statistical Analysis, Predictive Analytics, and Feature Engineering.
  • It equips the students with skills to develop and apply various algorithms including Classification & Segmentation, Regression & Forecasting, K Means, and Random Forest (using Python).
  • Some of the key statistical tools taught include SQL, Python, and Excel.
  • The course includes multiple case studies analysis to equip students with real field experience.

8. Executive Program in Business Analytics and Business Management 

  • The program is designed to enable students to cover the technical and business aspects of data analytics and data science.
  • Students are introduced to essential analytical tools, data extraction techniques, descriptive and inferential statistics, and data manipulation.
  • Some of the analytical tools taught include SQL, Python, R, and Tableau.
  • All students will have access to Tableau Visual Analytics software.
  • Students will acquire valuable information on Machine Learning and analysis of both structured and unstructured data.

Other Important Details

Jigsaw Academy Data Science Courses Eligibility Details


  • Its data science program was ranked 2nd in India by India Education Diary
  • Ranked the best institution in Data Science Training in India by Outlook India

Placement Details

  • Approximately 80% of Jigsaw students have moved into an analytics career
  • Highest placement offer for analytics graduates is Rs 15.3 Lakhs annually
  • The average placement offer is Rs 7.2 lakhs annually

Companies Involved in the Placement Process

  • More than 50 organizations are actively engaged in the placement process
  • They include Accenture, Amazon, Cognizant, Analytic Edge, Data Semantics, FICO, eBay, Future Group, Franklin Templeton Investments, Mahindra Electric, Novo Nordisk, Genpact, Nielsen, S & P Global, Oracle, and Zoom

Frequently Asked Questions

  • Q1: Can I visit the institution before the admission process?

Ans: Yes, the institution organizes site visits regularly to allow potential students to interact with the staff in the admission department and make any other inquiries about the institution

  • Q2: Does the institution offer special loans for needy students?

Ans: The institution does not offer loans to students. However, it has partnered with various financial institutions to enable the students to get loans based on their credit rating

  • Q3: Does the institution guarantee placement opportunities?

Ans: No, Jigsaw academy only creates an enabling environment for recruiters to interview the students. However, more than 98% of the students are placed both on and off-campus

  • Q4: Will I be eligible for a fee refund if I withdraw my application?

Ans: No, the application fee is not refundable

  • Q5: Is internship mandatory?

Ans: Yes, all students are required to attend a summer internship. The duration of the internship varies from one course to the other

  • Q6: Can Jigsaw Academy accept corporate sponsorships?

Ans: Yes, the institution allows companies to sponsor their employees. Such candidates must provide a written sponsorship letter from the current employer

  • Q7: Does the institution have scholarship opportunities for needy students?

Ans: Yes, needy and brilliant students can apply for partial scholarships. The scholarships are allocated based on merit 

  • Q8: Can I appeal if the admission panel denied me an admission?

Ans: No, the decision by the panel is final. The admission process is strictly based on merit

Contact Details

  • Bengaluru, Karnataka 560038, India
  • Official website:

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