Become the Data Scientist Everyone Wishes They'd Hire

A personalized program to catapult your career from 'meh' to 'meta' in the world of data.


🗓️ Seats filling up faster than a Silicon Valley startup's snack bar

Apply Now Schedule a 1:1 Call

Explore → Curriculum FAQs Pricing Why Zyncoder

Get Placed At




This Program is Best Suited For

Aspiring Data Scientists


Ideal for individuals eager to break into data science, this program equips you with essential skills in Python, SQL, machine learning, and big data, preparing you for roles in top tech firms. Perfect for those seeking a structured path to a data science career.

Tech Professionals


Geared towards IT and tech professionals who want to enhance their data science capabilities, this program covers advanced topics like big data, machine learning, and real-time analytics, helping you stay ahead in the fast-evolving tech landscape.

Career Changers


Designed for professionals from non-tech backgrounds looking to transition into data science, this program offers foundational training in data analysis, visualization, and machine learning, making it easier to switch careers and join the tech industry.

Kick off your quest of becoming the top talent in Data

Apply Now →


Why Choose Zyncoder?


Features Data Scientist Fellowship Other Full-Stack Courses
Cost ₹1,50,000 financed through a credit partner Varies, usually upfront payment
Stipend ₹10,000 monthly None
Accommodation Provided Not provided
Food Provided Not provided
Learning Environment On-site at Edgenics.in office Online or occasional in-person classes
Hands-On Experience Real-world projects at Edgenics.in Simulated projects or exercises
Project Scope Projects similar to top tech companies (FAANG) Varies, often theoretical
Mentorship Access to industry mentors Limited or no mentorship
Community Support Strong peer and mentor network Limited or online forums
Job Placement Assistance Dedicated support for top tech roles Varies, often limited to job boards
Repayment Post-placement repayment Upfront payment or deferred tuition options
Course Duration 21 weeks Varies, typically 12-24 weeks
Curriculum Depth Extensive, including advanced topics and real-world problems Basic to intermediate, often lacks depth in advanced topics
Outcome Guarantee Placement assurance after completion No guarantee or limited support

Supercharge your tech career with our nitty-gritty, hands-on program

Apply Now →

Curriculum

The ultimate, no-nonsense curriculum for mastering Data Science. No fluff, just results.

21 Weeks of intensive learning in product management and growth. Learn the art of building and growing products that your users will love.

Week 1 and 2

Excel Crash Course

  • Unlock the full potential of Excel: master pivot tables, forecasting, and VBA scripting to transform data into actionable insights.
  • Model historical stock trends and learn how to predict future market movements.
  • Get comfortable with statistics modeling to make data-driven decisions that stand out.

Outcome: By the end of this module, you'll be adept at using Excel for sophisticated data analysis and forecasting, setting you up for success in data-driven roles.

Hands-on assignment: Create a comprehensive stock trend analysis report using Excel, featuring pivot tables, forecasting, and VBA scripts.

Week 3 and 4

Python Data Analytics

  • Dive into Python 3 and build a solid foundation in one of today’s most versatile programming languages.
  • Master data manipulation with NumPy and Pandas, and visualize results with Matplotlib.
  • Learn to integrate data from various sources using APIs, making your data analysis workflow smoother and more efficient.

Outcome: You’ll gain robust Python skills tailored for data analytics, enabling you to manipulate, analyze, and visualize data effectively.

Hands-on assignment: Develop a Python script to analyze a dataset, integrating API data, performing data manipulation with Pandas, and visualizing with Matplotlib.

Week 5 and 6

Databases

  • Learn SQL and PostgreSQL for managing and querying relational databases.
  • Explore MongoDB to handle unstructured data and understand the ETL process for data integration.
  • Implement data storage solutions that cater to different needs and scenarios.

Outcome: You’ll master data organization and management using SQL, PostgreSQL, MongoDB, and ETL processes, equipping you to handle diverse data needs.

Hands-on assignment: Design and implement a database schema, perform ETL operations, and write SQL queries for data manipulation and extraction.

Week 7 and 8

Web Visualization

  • Get hands-on with HTML and CSS to build and style web pages for data visualization.
  • Leverage the Bootstrap framework to design responsive and visually compelling web pages.
  • Implement interactive charts using JavaScript libraries and create dynamic geomapping visualizations with Leaflet.js.

Outcome: You’ll be capable of creating and deploying interactive web visualizations that communicate data insights effectively.

Hands-on assignment: Develop an interactive web dashboard incorporating charts and maps to visualize and share your data analysis results.

Week 9 and 10

Machine Learning Fundamentals

  • Explore the world of machine learning and its practical applications.
  • Understand supervised learning techniques like regression and classification.
  • Delve into unsupervised learning methods such as clustering and dimensionality reduction.
  • Enhance model performance with effective feature engineering.

Outcome: You’ll acquire a solid grounding in machine learning techniques and their application to solve real-world problems.

Hands-on assignment: Build and evaluate a machine learning model using a dataset, incorporating both supervised and unsupervised learning techniques.

Week 11 and 12

Advanced Machine Learning Topics

  • Dive into deep learning with neural networks and explore advanced frameworks.
  • Master Natural Language Processing (NLP) for text analysis and language modeling.
  • Analyze and forecast time-series data with advanced techniques.
  • Learn to deploy machine learning models into production environments.

Outcome: You’ll gain expertise in advanced machine learning techniques and practical experience in deploying models to production.

Hands-on assignment: Develop a deep learning model, incorporating NLP or time-series analysis, and deploy it using a cloud platform.

Week 13 and 14

Big Data Fundamentals

  • Understand the principles and technologies behind big data.
  • Learn to use Hadoop and Spark for distributed data processing.
  • Explore storage solutions for managing large-scale data.
  • Implement real-time data processing techniques for immediate insights.

Outcome: You’ll be equipped to handle and analyze large-scale data using cutting-edge big data technologies.

Hands-on assignment: Set up a big data processing pipeline with Hadoop and Spark, and analyze a large dataset.

Week 15 and 16

Advanced Data Science Tools

  • Master Tableau for advanced data visualization and dashboard creation.
  • Understand the ethical considerations and responsible practices in data science.
  • Build and manage end-to-end machine learning pipelines.
  • Automate data science workflows to enhance efficiency.

Outcome: You'll excel in using advanced tools and practices, with a strong grasp of data ethics and automation techniques.

Hands-on assignment: Create an interactive Tableau dashboard and build an end-to-end machine learning pipeline for a real-world dataset.

Week 17 and 18

Capstone Project

  • Identify a real-world problem and apply your data science skills to solve it.
  • Collect, analyze, and visualize data to produce actionable insights.
  • Prepare a comprehensive report that showcases your methodology and findings.

Outcome: You’ll complete a significant project demonstrating your ability to tackle complex problems and deliver insights.

Hands-on assignment: Execute your capstone project, including data collection, analysis, and visualization, and present your findings.

Week 19 and 20

Professional Development

  • Build a compelling portfolio and resume tailored for data science roles.
  • Prepare for interviews with mock sessions and tailored feedback.
  • Learn effective networking strategies to leverage professional connections.

Outcome: You’ll be ready to launch your career with a polished portfolio, strong interview skills, and a robust professional network.

Hands-on assignment: Develop a data science portfolio, participate in mock interviews, and create a personalized career development plan.

Week 21

Graduation and Career Launch

  • Present your capstone project to industry professionals and peers.
  • Finalize job applications, attend career fairs, and kickstart your job search.
  • Reflect on your learning journey and strategize your next career moves.

Outcome: Complete the program with a comprehensive skill set, ready to make your mark in the world of data science.

Hands-on assignment: Present your final project and implement your career plan to secure a role in a leading tech company.

Tools

Data Analysis & Visualization Tools

Microsoft Excel, Tableau, Matplotlib

Programming Languages & Libraries

Python 3, NumPy, Pandas, SciPy

Database Management Tools

SQL, PostgreSQL, MongoDB, pgAdmin

Web Development & Visualization Tools

HTML, CSS, Bootstrap, JavaScript, Leaflet.js

Big Data & Machine Learning Tools

Hadoop, Spark, Scikit-Learn, TensorFlow

Outcome: You'll be proficient in a comprehensive set of tools crucial for data analysis, visualization, database management, and big data processing, with hands-on experience across all these platforms.

Supercharge your Data Career

Apply Now →

Level Up Your Tech Career


You get access to:

  • Immerse in 200+ hours of live training and expert mentorship for real skills.
  • Get exclusive access to expert sessions and workshops to boost your expertise.
  • Monthly stipend to support your learning journey and focus on the course.
  • Comprehensive accommodation and food coverage while you’re with us.
  • Practical learning in the Edgenics.in office, blending theory with hands-on.
  • Dedicated job placement assistance to help you land a top tech role.
  • Flexible fee repayment plan: pay after securing a job, easing financial stress.

Fees

Data Scientist Fellowship ₹ 1,50,000/-
+ Taxes (GST @18%) ₹ 27,000/-
Total ₹ 1,77,000/-
Pay as low as ₹ 8,332 per month after getting placed.
Apply Now →

Frequently Asked Questions:

The comprehensive fee for this transformative program is ₹1,50,000 per student. This investment is made convenient with financing through our trusted credit partner, ensuring you can focus on your future without financial stress.
Your fee covers everything you need to succeed: cutting-edge training, a generous stipend, comfortable housing, nutritious food, and essential miscellaneous expenses. All tailored to ensure you get the most out of your experience.
The ₹10,000 stipend is designed to ease your journey, allowing you to focus entirely on your learning and growth at Edgenics.in without financial distractions. It's our way of supporting you every step of the way.
The program will be conducted at our state-of-the-art office at Edgenics.in. Experience an immersive learning environment designed to maximize your growth and success.
After you land your dream job through our program, you'll settle the fee with the credit partner. This way, you only pay once you start reaping the benefits of your new career.
Absolutely! Housing and food are fully covered in the program, ensuring you can focus on your studies and training without any concerns about your living arrangements.
For any additional queries, our dedicated support team is here to assist you. Reach out to us at support@edgenics.in. We're committed to ensuring you have all the information you need to make an informed decision.
Our program is designed to transform your career prospects by equipping you with industry-relevant skills, hands-on experience, and valuable connections. You'll gain a competitive edge and increase your chances of landing a role in top tech companies.

Supercharge your Data Career

Apply Now →