Jigsaw Academy | Data Science Courses, Reviews (and more)

Introduction

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

1. Postgraduate Program in Data Science & Machine Learning

Introduction

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.

Courses offered

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

Introduction

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

Introduction

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

Introduction

It equips students with knowledge and skills of using Python, R, Keras, Tableau, SQL, Anaconda, and TensorFlow analytical tools. It is validated by NASSCOM.

Type of Courses

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

Introduction

Students get in-depth insights into using Excel applications in data analysis.

Type of Courses Offered

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

Introduction

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

Introduction

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

Introduction

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.

Jigsaw Academy Data Science Fee Structure

Ranking

• 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
• The 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.

Students Testimonials

“I have 23 years of experience in manufacturing Industries. In search of adding the skill of competency, I came to know about this course by email. Jigsaw Data Science course is well design course it gives a full understanding of the course. Video class, Class recording, and case study of each topic is very well covered. I enroll in a data science course in Feb-2018. I have no computer education background still I understand course content very well because of its course design. The faculty of Jigsaw is very well supported and provides resolution of our every query regarding course topic and general support. If I say this course practical use is to resolve the business problems and sustain your business in today’s digital world. Data is a heart of Business and its analysis by Data Scientist enhance the possibility of business growth, business solution and customer satisfaction. I am really enjoying learning with this course.” Upendra Panchal

“I am currently doing my Data Science course in Jigsaw. The key difference is the faculty addressing each issue, discussing with you over a call, as soon as you create a ticket, quick turnaround faculty support. Also, when asked for additional support, apart from the course, they were more than happy to support me, which is according to me a great learning experience. Each member of the Institute, faculty, support members, Staff are real gems in each and every way they could to help the candidates. Jigsaw has helped me expand my knowledge and skills adequately. I enjoyed the course material, which was very well structured and the instructor videos were of good quality, and the instructor’s oration was very well paced with live examples and system access, that helped adequately visualize the concept and hands-on approach.” Nithya Lakshmi

Credit: Jigsaw Academy official website

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 Jigsaw Academy 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 Jigsaw Academy 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

If you have any questions, please ask us here – we answer every single query of students.

Contact Details

• Bengaluru, Karnataka 560038, India
• Official website: https://www.jigsawacademy.com/

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