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Upskill with Future-Ready AI Skills for Career Transition
End to End Data Science

Join our hands-on, Instructor-led course and master the skills needed to excel in the data-driven world. From Python fundamentals to machine learning, neural networks and deep learning gain practical experience through real-world projects.

Take the first step toward your successful career in data science!

Corporate Training

Academic Training

Your Journey to AI & Data Science Excellence

What to expect from this course?

  • Gain comprehensive knowledge in Python, Machine Learning, and Deep Learning, covering the full data science pipeline.
  • Learn to apply data science tools and techniques to solve real-world problems and build AI-driven solutions.
  • Hands-on projects and practical exercises that will solidify your skills and help build a job-ready portfolio.

This Course is for You

  • Tech Enthusiasts and Newcomers eager to dive into the world of data science and AI.
  • Developers looking to enhance their skill set with data-driven technologies.
  • Career Changers seeking to transition into AI-focused roles and boost their professional opportunities.

Highlights of this course

  • Instructor-led training | No recorded videos.
  • Capstone projects | Assignments | Quiz | case studies for practical experience.
  • Comprehensive curriculum | Flexible learning with live sessions covering essential to advanced topics.
  • Career support, including portfolio and resume guidance.
  • Recognized certification upon completion.

What you’ll learn on this course

Duration

90 Hours

Capstone Projects

3

Case Studies

7

Tools Covered

19

Study Method

Online | Classroom | Bootcamps

01

Python Fundamentals

12 hrs session | 1 Assignment
1 Case study

Python
Anaconda
Jupyter notebook

  • Installing Python and Anaconda environment
  • Variables, Input Functions, Operators, Control Flow, String Handling 
  • Data Structures-Lists, Tuples, Sets, Dictionary
  • Functions, Modules, Packages, File Handling, Exception Handling
  • Object Oriented Paradigms

02

Python Libraries

6 hrs session | 1 Assignment
1 Quiz

NumPy
Pandas
SciPy

  • Numerical Operations – NumPy
  • Pandas: Data Frame Basics, Key Operations on Data Frames
  • Matrix Operations and Linear Algebra
  • Working with SciPy

03

Data Visualization

4 hrs session | 1 Assignment
1 Case study

Matplotlib
Seaborn

  • Scatter Plot, Line Chart, Histogram, Bar Chart, Box plot, Heat Map, Pair plot
  • Scatter Matrix using Matplotlib
  • Pandas Visualization
  • Seaborn Visualization

04

Statistics and Probability

6 hrs session | 1 Assignment
1 Quiz

Statsmodels

Statistics – Measuring central tendency, Variance
Probability Distributions – Gaussian, Poisson, Bernoulli, Binomial, Uniform, Exponential
Hypothesis Test, P-Test, t -test, z-Score, Chi-Square Test, ANOVA

05

Time Series Data analysis

6 hrs session | 1 Assignment
1 Case Study

AutoTs
Darts

  • Time Series Data, Seasonal Decompose – Tread, Seasonality
  • Down Sampling, Resampling, Up sampling, Time deltas
  • Time series forecasting with ARIMA,
  • Multivariate Time Series

06

Handling different file formats, Databases

8 hrs session | 1 Assignment
1 Quiz

mySQL
MongoDB

  • Working with Different File formats – CSV, JSON, PDF, binary, HDF5
  • Interacting with data in SQL-Py SQL with MySQL DB
  • Interacting with data in NoSQL -PyMongo with MongoDB

07

Data Cleaning and Data Mining

8 hrs session | 1 Assignment
1 Case Study | 1 Capstone Project

Missingno
Data cleaner

  • Data Cleaning -Find and replace missing values & Encoding Categorical Features
  • Getting Started with Data Mining
  • Affinity analysis
  • Recommender Systems
  • Market Basket Analysis

08

Machine Learning

20 hrs session | 3 Case Studies
1 Capstone Project

Scikit Learn
OpenAI Gym

  • Fundamentals of Machine learning
  • Supervised Learning algorithms, Unsupervised Learning algorithms
  • Dimensionality reduction, Cross Validation
  • Working with Scikit-Learn, Train Test, Validation, hyperparameter tuning
  • Performance metrics, Save and load the model
  •  

09

Getting started with TensorFlow and Neural Networks

4 hrs session | 1 Assignment
1 Quiz

TensorFlow

  • TensorFlow – Loading and exploring the data, Data transformation & Data segmentation, Tensor and Matrix operations
  • Neural Networks Foundation, Activation functions, Hidden layers, Illustrate & Training a Perceptron, Important Parameters of Perceptron

10

Deep Learning

16 hrs session | 2 Case Studies
1 Capstone Project

Keras

  • Multi-Layer Perceptron (MLP) Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN), Long Short -Term Memory (LSTM)
  • Regression Networks, Auto Encoders, Generative Adversarial Networks (GAN)
  • Compile, Optimize, Execution using Tensor Flow & Keras,
  • Parameters vs Hyper parameter, Hyper parameters Tuning
  • Regularization, Optimization, Policy Gradient Methods

What people Say

professionals collaborating and learning AI and data science skills to advance in their careers.
professionals collaborating and learning AI and data science skills to advance in their careers.
professionals collaborating and learning AI and data science skills to advance in their careers.
professionals collaborating and learning AI and data science skills to advance in their careers.

Mr. Harvinder Gill

VP Cyber Security, CISA, Hyderabad

“ The course structure is thoughtfully curated, ensuring relevance to current industry demands in cybersecurity. The assignments and capstone projects allowed me to gain practical, hands-on experience that boosted my confidence in applying the concepts. The Mentor’s support was outstanding throughout the course; Despite having a full-time job, the flexibility of the course made it manageable for me to complete it successfully. Kudos to the team.”

Mr. Vijay Manikumar Yaragalla

Tech Lead, Boeing, Chennai

“ I worked on hands-on projects that introduced me to real-world problems. I had a really enjoyable learning experience. The program covered tools and topics I use in modern-day analytics. Mentors were always there to guide me any time. I was able to build strong foundational skills in Python, SQL, Data Science and Machine Learning are helping in my current role.”

Ms. Patricia Dsouza

Manager at Axis Bank, Pune

“ I successfully transitioned my career with the End-to-End Data Science course. Thanks to VYOAM, I was able to compile an impressive online portfolio showcasing the projects I completed during the course. This portfolio proved to be invaluable in interviews. Just one month after finishing the course, I secured my first data science role in the banking sector.”

Ms.Akhila Manchi

Researcher, Australia

“ The weekend schedule provided flexibility to apply knowledge throughout the week. The course content was comprehensive, with capstone projects, assignments, and case studies that built real-world skills. The career support was excellent, giving me the insights and connections needed to break into the industry and eventually pursue a Ph.D. at Deakin University.”

Balamurugan Sadaiappan

Research Scientist, Bangalore

“The course content is well-structured, relevant, and aligned with current industry standards and research. The labs and Capstone projects provided hands-on experience, which made the learning process practical and applicable to real-world scenarios. The faculty was highly supportive throughout the program, and any research-related queries I had were promptly addressed through support tickets. Despite working full-time, I was able to complete the program smoothly, thanks to the flexibility it offers. ”

Santhosh Kumar

SDE, Chennai

"I successfully transitioned my career with the End-to-End Data Science course. Thanks to VYOAM, I was able to create a standout online portfolio that highlighted the projects I worked on during the program. This portfolio played a key role in my interview process. Just one month after completing the course, I landed my first data science position in the industry."

Batch Opens

Starting

Jan 25, 2025

Early bird discount

10% off - register on before Jan 22, 2025

Mode

Instructor Led Online Training

Duration

04 months

Weekends

Saturday & Sunday

Timing

5:00 PM to 7:30 PM

Step 1

Get More Info

+91 98415 57655

training@vyoam.in

Step 2

Payment

Pay via UPI

UPI ID: vyoamaisolutions@ybl

Pay via paypal PayPal
  • Email: vyoamtech@gmail.com

Step 3

Enrollment form

    Our mentors

    Anitha Karthi
    AI Consultant
    She is a seasoned expert in Artificial Intelligence and Embedded Systems with over 20 years of experience spanning academic research and industry. Specializing in making AI and Machine Learning accessible, she excels at simplifying complex concepts for diverse audiences. Known for her leadership.
    Rajkamal Rajendran
    Corporate Trainer
    As an AI Consultant, Apple Certified Trainer, Apple Distinguished Educator, and Design Thinking Practitioner, he makes complex technologies like AI, ML, and DL accessible to learners of all levels. His hands-on approach simplifies intricate concepts and encourages creative problem-solving through real-world experimentation.
    Sundara Raman Narayanan
    Data Science Leader
    With 19 years of experience in core banking and expertise in AI, machine learning, and data science, he serves as Head of Machine Learning Engineering at Applied Data Finance. He holds advanced degrees in business analytics and IT, having worked with leading organizations like Crayon Data and TCS.
    Paul T Sheeba
    ACT | ADE | Principal Architect
    She is a passionate educator practising AI, Machine Learning, Data Science, and iOS app development. She specializes in simplifying complex AI concepts and guiding from ideation to implementation, with a strong focus on AI-driven solutions and real-world applications.

    Find the answers to your questions here

    Simple, you can become a data scientist. Of course, it comes only with practice and perseverance. The most important outcome is that we will put you in a structured learning path wherein even after completion of course, you can keep learning and building your profile without any confusion like you are in now.

    Mentorship will include – giving access to end to end models built already for reference. Helping students to build more projects. We will have 1 or 2 group mentorship sessions every week. The outcome is build a profile for you..

    Good analytical skills and knack for problem-solving, creativity coupled with commitment is prerequisite. Also, some exposure to coding is expected. You need not write an object-oriented program demonstrating inheritance but if you can write a ‘for’ loop, we can take you from there.

    There are AI courses available for a large number of tools and wide-spanning fields. You’ll be able to learn how to use individual tools, and how to apply AI to your own workflows. Some courses can even teach you how to start building your own AI using APIs and programming languages such as Python.

    Learning AI doesn’t have to be hard! After all, one of the biggest aspects of AI is about improving quality of life and saving us valuable time! AI courses vary widely depending on the skills you’re looking to learn. You can find some very beginner-friendly courses for specific tools, such as ChatGPT and Midjourney. If you’re looking to learn how to develop and build your own AI, that may take a little more patience and perseverance. If you’re just starting out, we recommend picking one of the beginner courses for an AI tool. 

    AI is accessible to just about anyone. There are a large number of free AI tools out there which you can practice & play with to your hearts content, this is a good way to get started. Since AI is always improving, you should never feel ‘behind’, as even the best experts in the field have to keep up with the changes every month! Having a basic knowledge of computing and the web will help, but if you’re curious enough to be on this page and reading this, you’re in a perfect position already!

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    training@vyoam.in

    +91 9841557655