100% Job Guaranteed Program

Learn, Get Certified and Land a Job in Data Science Data Analysis Machine Learning Deep Learning Artificial Intelligence in 6 Months!

End-to-end Data Science Masterclass course. From Python, Statistics, Data Analysis mastery to advanced topics like Machine Learning, Deep Learning and Artificial Intelligence. Packed with 1300+ videos. 300+ hours of practical video content.

5/5

(10,500+ reviews. 1,00,000+ happy professionals)

5/5

(10,500+ reviews)

India's Highest Rated Data Science Program

We’ve helped over 1,00,000+ students completely change their lives. You can be Next..

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(100+ Reviews)

Program Features and Content Designed to get you a Job

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All Pre- Requisite Covered

300+ Hours of Learning (Self Paced)
Instructors from Google, Amazon and IMDB
Unlimited Doubt Resolution Over Email
1:1 Bi-Weekly Zoom Call Doubt Resolution
10 Industry + 5 Capstone Projects
8 Assured Certifications

100% Guaranteed Job
(Min ₹6 LPA)
Free Downloadable Resources worth ₹20,000
Dedicated Career Coach

Portfolio Building (Linkedin, Github and Resume)
Mock Interview Prepration (HR + Technical)
All Graduates of any Branches and Degrees Eligible

Any Graduate Passed out after 2012
Last Year Students are Eligible

The Only Program that Cover all the Domains of Data Science

Program Curriculum

  • Fundamental understanding of the Python programming language.
  • The skills and understanding of Python to confidently apply for Python programming jobs.
  • Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
  • Add the Python Object-Oriented Programming (OOP) skills to your résumé.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developers.
  • Understand both Python 2 and Python 3.

  • The module provides the entire toolbox you need to become a data scientist
  • Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
  • Impress interviewers by showing an understanding of the data science field
  • Learn how to pre-process data
  • Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  • Start coding in Python and learn how to use it for statistical analysis
  • Perform linear and logistic regressions in Python
  • Carry out cluster and factor analysis
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Apply your skills to real-life business cases
  • Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
  • Unfold the power of deep neural networks
  • Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
  • Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
  • Build artificial neural networks with Tensorflow and Keras
  • Classify images, data, and sentiments using deep learning
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Data Visualization with MatPlotLib and Seaborn
  • Implement machine learning at massive scale with Apache Spark's MLLib
  • Understand reinforcement learning - and how to build a Pac-Man bot
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Use train/test and K-Fold cross validation to choose and tune your models
  • Build a movie recommender system using item-based and user-based collaborative filtering
  • Clean your input data to remove outliers
  • Design and evaluate A/B tests using T-Tests and P-Values
  • Gain a Strong Understanding of TensorFlow - Google’s Cutting-Edge Deep Learning Framework
  • Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
  • Set Yourself Apart with Hands-on Deep and Machine Learning Experience
  • Grasp the Mathematics Behind Deep Learning Algorithms
  • Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
  • Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
  • Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding
  • How to Build an AI
  • How to Build a Hybrid Intelligent System
  • Fully-Connected Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • Variational AutoEncoders
  • Mixture Density Network
  • Deep Reinforcement Learning
  • Policy Gradient
  • Genetic Algorithms
  • Evolution Strategies
  • Covariance-Matrix Adaptation Evolution Strategies (CMA-ES)
  • Controllers
  • Meta Learning
  • Deep NeuroEvolution
  • Connect to Kaggle Datasets
  • Explore Pandas DataFrame
  • Analyse and manipulate Pandas DataFrame
  • Data cleaning with Python
  • Data Visualization with Python
  • Connect to web data with Power BI
  • Clean and transform web data with Power BI
  • Create data visualization with Power BI
  • Publish reports to Power BI Service
  • Transform less structured data with Power BI
  • Connect to data source with excel
  • Prep query with excel Power query
  • Data cleaning with excel
  • Create data model and build relationships
  • Create lookups with DAX
  • Analyse data with Pivot Tables
  • Analyse data with Pivot Charts
  • Connect to data sources with Tableau
  • Join related data and create relationships with Tableau
  • Data Cleaning with Tableau
  • Data analysis with Tableau
  • Data visualization with Tableau
  • Become an expert in Statistics, SQL, Tableau, and problem solving
  • Boost your resume with in-demand skills
  • Gather, organize, analyze and visualize data
  • Use data for improved business decision-making
  • Present information in the form of metrics, KPIs, reports, and dashboards
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Understand the fundamentals of database theory
  • Use SQL to create, design, and manipulate SQL databases
  • Extract data from a database writing your own queries
  • Create powerful professional visualizations in Tableau
  • Combine SQL and Tableau to visualize data from the source
  • Solve real-world business analysis tasks in SQL and Tableau
  • Forecasting stock prices and stock returns
  • Time series analysis
  • Holt-Winters exponential smoothing model
  • ARIMA
  • Efficient Market Hypothesis
  • Random Walk Hypothesis
  • Exploratory data analysis
  • Alpha and Beta
  • Distributions and correlations of stock returns
  • Modern portfolio theory
  • Mean-Variance Optimization
  • Efficient frontier, Sharpe ratio, Tangency portfolio
  • CAPM (Capital Asset Pricing Model)
  • Q-Learning for Algorithmic Trading

Over 200+ Top MNCs and Startup as Hiring Partners

Our Alumni Works at

Get 100% support from our dedicated placement team till you get placed

Get the Perfect Job with Unlimited 1:1 Career Coaching

Exclusive access to our Hiring Partners
Resume, Linkedin, Github and Portfolio building
Mock Interview Prepration (HR + Technical)
Create a reward-winning job search strategy
Master the skills to crack interviews
Learn how to negotiate salary
Minimum 30+ Job Opportunities

Make your Portfolio Job Worthy

Get Ahead with Skillcept Online Certification

Pass all the competency tests, reviews and 5 Capstones projects after the completion of the training part to earn the certificate of achievement for all modules.

Our Tuition Fees is not a hassle

The Most Affordable and Complete Program for Data Science

Registration Fees

(You only need to pay this fees upfront to Start Learning, Get Certificates and Land your Dream Job)

Fully Refundable

🛍️🛍️50% OFF Coupon Auto Applied on Checkout🛍️🛍️

₹5,000

₹5,000

We charge a minimal Registartion fee for our Data Science Pay After Placement Program. This fee is entirely refundable once you complete the courses, gain certificates and become ready for your placement journey. The refundable fee model helps us in filtering non-serious candidates and saves our resources from any hassle.

We are investing heavily in providing the best-in-class learning experience to our students. To encourage serious candidates, and keep them motivated throughout the program, we charge a nominal registration fee(security deposit) that is refunded upon issuance of certificates.

Once the certificates are issued to you and you start the Placement Process, your registration fee is fully refunded.

Tuition Fees
(100% After Placement)

You will only pay this fees after you will recieve your first salary of minimum ₹6 LPA Package. (Only Payable from First Salary, No ISA)

₹21,500

₹21,500

Transforming Futures, One Student at a Time

What our Current Students Say About Us!

Nidhi Patel
Nidhi Patel
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Skillcept Online has a very competitive online Data Science program. I like the projects that we are doing be it, mentored hackathons; assignments; hiring challenges; self study and guided projects. We actually get to process dirty data from the industry. Another thing that fascinates me here is that best projects are being compiled into our portfolio. All the different teams work together to help us. No complains!
Gopi Krishna
Gopi Krishna
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I discovered Skillcept Online in my quest for an all-rounder and comprehensive data science institute. I am on the last leg of compiling my projects and doing mock interviews. The journey was very thrilling, very fast but rich with experience in real time data. I enjoyed solo sessions with amazing mentors. Group sessions were very empowering. Hackathons and code along sessions greatly enhanced my coding abilities. All in all I think Skillcept Online is great!
Approva S
Approva S
Read More
Real life begins out of the comfort zone. Keeping this in mind, Skillcept Online has developed it's curriculum in such a way that every learner gets exposure to extracurricular activities involved in the real-life projects of Data Science. What appears from Skillcept Online's values is that it supports lifelong learning and encourages learners to go beyond the curriculum.
Syed Raza
Syed Raza
Read More
They keep us motivated throughout and enable us to study with the same enthusiasm till the end. It also has a skill competency matrix that analyses our strengths and weaknesses broken down by domains and processes. Such a quantified systems enables me always keep a track of my personal progress and helps me to cover up the ones I am weak at. It also has a weekly plan which has a record of the completed and pending chapters, assignments and revision. Skillcept Online ensures flawless learning.
Prabin Prakash
Prabin Prakash
Read More
I think you will like Skillcept Online. It will teach you all that you would need to know to excel as a data scientist. I was an associate with my company where I was sorting and analyzing data. I always craved for a more meaningful role wherin I could help make business decisions for my company. That was when my boss introduced me to Skillcept Online. He is a mentor there. He helped me with programming, creating algorithms using ML and Deep Learning and Computer Vision. Thanks to his mentorship and team Skillcept Online, I am working as a junior Data Scientist in my boss’s team in the same company and am truly enjoying my new role.
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Frequently Asked Questions

Got Any Questions?

We charge a minimal Registartion fee for our Data Science Pay After Placement Program. This fee is entirely refundable once you complete the courses, gain certificates and become ready for your placement journey. The refundable fee model helps us in filtering non-serious candidates and saves our resources from any hassle.

No, there are no prerequisites for enrolling.  Everything you need to know is included in the program.

We start the whole learning process from scratch. This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite.

We explain it all, step-by-step, including how to download and install the necessary software (e.g. Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.)

Your course is valid for one year. You can finish this course anytime in this one year.

Of course, yes! We have our dedicated placement team that will help you prepare for technical and HR interviews. Also, we will provide you with training in communication skills and analytical skills as many companies have these as part of their selection process, and this will help you grab any job opportunity.

You will get the opportunity to work on multiple projects and assignments, which will provide you with real-world industry exposure. At the end of the course, you will be working on a 5 capstone projects as well, which has a research element, and you can showcase the same to top companies for getting hired.

This is one of the ‘harder’ questions.

What usually happens is that most students prefer to pick the parts that are interesting/relevant for them. Therefore, we can’t really give you an exact time frame as the concept of ‘completing the program’ seems different for every student.

However, there are several main factors which drive the duration:

  1. whether the student is working;
  2. his/her motivation;
  3. prior experience.

The biggest determinant seems to be 1) whether the student is working.

Employed people usually devote several hours per week to the program, thus the duration of their studies is longer.

Regarding 2) motivation, we are trying to incentivize students to be more engaged, but at the end of the day, that depends on the individual.

Finally, 3) prior experience – this is important. Some students have done a bit of programming, others – statistics, so they can skip some parts. Overall, they spend less time on the program as a whole and can complete it within a month or two. Assuming that a student starts from scratch, works part-time, and completes all courses and exercises, 6-7 months are sufficient.

However, keep in mind that we expand our program on almost monthly bases, so the time frame to ‘complete the program’ is continuously increasing.

The course will be in English Self Paced Lectures Videos

Yes, you can.

We recommend using a computer for taking the course as the programming parts of the course are not well suited for learning on a mobile device.

This means that any prospective employer can contact us or visit verify certification URL to receive official confirmation that you have completed the data science program and receive a list of the skills you have acquired.

For the time being, our platform shows progress for the individual courses!.Once you have completed all individual courses, you will have completed the whole program.

Our placement assistance team will help you prepare well with mock interview rounds. If you have completed all the assignments and projects by the end of the course, you will not have to worry about tech interviews. You will be ready!

Your repayment will only start once you get a job that offers a salary of at least 6 LPA within 1 year of completing the course.

If you get a before the start of Placement Process from us, you don’t have to pay. But after that, you will be obliged to pay even if you get placed without the help of Skillcept Online as we believe that our quality training can quickly help you crack any job interview.

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