Launch Your Dream Carrer with 1st Complete Data Science Platform that Offers a Job Guarantee of 6+ LPA
- Pay Only after your first salary (Min 6 LPA)
- Minimal 100% Refundable Registration Fee
- All Domains of Data Science Covered
- All Graduates and Streams Eligible
- Live classes every week
(Theory + Practical)
Python Programming Masterclass
- Have a fundamental understanding of the Python programming language.
- Have 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 Data Science Course 2023
- The course 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
(Theory + Mostly Practical)
Machine Learning and Deep Learning with Python
- Build artificial neural networks with Tensorflow and Keras
- Implement machine learning at massive scale with Apache Spark’s MLLib
- Classify images, data, and sentiments using deep learning
- Make predictions using linear regression, polynomial regression, and multivariate regression
- Data Visualization with MatPlotLib and Seaborn
- 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
Deep Learning with
Tensorflow 2.0
- 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
Artificial Intelligence Masterclass
- 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
(Theory + Mostly Practical)
Data Analysis & Visualization: Python | Excel | BI | Tableau
- 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
Business Intelligence Analyst
Course
- 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
(100% Practical)
Financial Engineering and Artificial Intelligence in Python
- 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
Access to Data Science Books
- 100+ top rated Data Science Books
- Free Updates Quarterly
- Books worth ₹75,000
New Courses Quarterly
- Constant career growth
- Learn new Tools/Tech
- Free Updates Quarterly
1st Fully Gamified Platform
- Gain XPs to show your Learning journey
- Level up to Showcase your Knowledge
- Showcase your Certificates at Profile
AI Support Assistant
- Instant AI Support for any Doubts
- Dedicated Support Portal
- Lightning Fast response time
Portfolio-worthy Projects
- Boost up your Portfolio
- 25 Capstone Projects
- 3 Live Client Projects
Industry Recognised Certification
- 8 Fully Verifiable Certificates
- Differentiate yourself from crowd
- Shareable to Linkedin in One Click
Most Advanced Job Portal
- Access to 500+ Hiring Partners
- Online Resume Manager
- Dedicated Jobs Inbox
- Min 6 LPA guaranteed
Join over 1,50,000 successful professionals who have leveraged our Platform to launch their Data Science Career
Premium Subscription
Self Paced Learning with 100% Job Guarantee
Pay ₹33,000 from your first salary only, after you get a job above 6 LPA.
Epic Subscription
Live Classes Based Learning with 100% Job Guarantee
Pay ₹12,500 per month for 12 months, after you get a job above 6 LPA.
Clear all your doubts relating to our Courses, Processes, Content and Platform
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.)
How long you take to complete all courses in the program may change depending on the following factors:
- You’re working full-time or part-time. We have plenty of employed students who devote several hours per week to the program and find their ideal balance between work and learning. Of course, this will extend the amount of time the program takes, but this is up to how the individual prefers to manage their time.
- Your prior experience and knowledge level. Everyone joins our program at different levels and while our courses are great for beginners as well as experts, how much you already know about programming will naturally affect how fast you proceed. For instance, if a student starts from scratch, works part-time and completes all courses, 8-9 months is sufficient time. However, if someone already knows programming, statistics, and related areas, they’ll likely only need 4-6 months.
- Motivation and engagement. While we design our courses to be as interesting and engaging as possible, there is a degree of individual responsibility in terms of learning time. Like any educational undertaking, you get back what you put in.
Please note that our courses are continually being reviewed and improved wherever possible. When more materials and new courses are added, this will increase the overall timeframe for completion.
For EPIC subscription, all modules are covered in 8-9 months in Live classes
Our program is here to challenge and educate you – not stress you out! We understand that many of our students are undertaking the courses together with working, other studies, and daily life.
As such, there is no time limit on completing the program, meaning that you can shape it around your life and plans as much as you like. And, whether you finish a course in a week, month, or year, you’ll still be 100% eligible to receive all of the certificates that you have unlocked.
The main requirement is that you make the most out of the program. While we have developed our materials and platform to be as accessible and engaging as possible, the speed at which you complete the program will depend on how much time and effort you’re willing to invest.
If you have any questions or concerns about balancing your life with the program, just get in touch with us and we’ll be happy to give you advice.
We have developed the program in a specific and deliberate way for you to learn the different areas of data science in a logical and efficient manner.
That’s why we have divided our Course Library into 8 courses. Each course contains individual sections with quizzes and practice exams to test your knowledge and build your practical skills. As the program's creators, we believe this is the best way to get the most out of the materials without feeling overwhelmed or confused. Simply navigate to your Course Library to access the modules.
For Freshers, It is highly recommended to do courses in given order only. If you have prior knowledge, You can do it in your preferred order.
Even if you’re a complete beginner, the Skillcept Online Data Science Platform is designed to build up your expertise through intuitive, step-by-step courses that strike the perfect balance of theory and practical knowledge.
To start at the very beginning, we recommend that you start the courses in order they are given in course library.
From the fundamentals through the expert topics, you will acquire valuable skills, including how to download and install the necessary software (e.g., Excel, Anaconda, Jupyter Notebook, Python, R, MySQL, Tableau Public, etc.). This is one of the things that make us different from other platforms that consider mathematics and statistics a prerequisite.
If you have any questions at any time during the program, we have a robust and active Support Portal where other students can post questions and get responses from our experts team or you can also ask DataWise (your Personal AI Support)
The courses will be in International English only.
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.
Clear all your doubts relating to Pay After Placement Process
We charge a minimal Registration fee for our Data Science Pay After Placement Subscriptions Plans (PREMIUM and EPIC) . 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.
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.
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 enrolling in the platform
If you get a job 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.