DATA SCIENCE

Become an expert in Data Science by diving deep into the nuances of data interpretation, to take your career in Data Science to the next level.

Demo Videos

Things you will learn

  • Learn to handle hardware and OS using Linux
  • Get control of your projects using YARN, GitHub and Git Bash
  • Kickstart your learning by getting an understanding of the Python language
  • Establish your mastery of Data Science and Analytics techniques using Python programming
  • Learn Maths and Statistics concepts required to work with data
  • Master machine learning techniques, including supervised and unsupervised learning and hands-on modeling
  • Understand the concepts of NLP, Deep-learning, Data Visualization and Analytics
  • Intern with us on live projects.
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Key highlights

  • 21+ hours of video lectures
  • Lifetime LMS access for study contents
  • Study on mobile or laptop
  • Live or recorded sessions
  • Dedicated mentorship assistance
  • Industrial projects (1 minor+1 major)
  • Certificate of completion
  • Internship opportunities

Tools you can work hands on

Data Science

Program Contents

Module 1 - Introduction to Python

  • Objects and Data Structure(String, List, Tuple, Dictionary, Sets, and Booleans)
  • Functions in python
  • Modules and packages
  • Statements in Python(if else, for loop and while loop)
  • Basic built-in python modules

Module 2 - Necessary Modules for Data Science

  • Numpy (vector procession)
  • Pandas (Data Processing)
  • Matplotlib (visualization)
  • Seaborn (Visualization)
  • SK-Learn

Module 3 - Data Preprocessing

  • Acquiring and importing the dataset
  • Feature engineering and Feature selection (Importance)
  • Handling the missing values
  • Scaling and Normalizing the data
  • Handing categorical Features
  • Data Decomposition and split

Module 4 - EDA(Exploratory Data Analysis)

  • Answering Questions through data
  • Data Visualization (line, scatter plots,)
  • Analyze various aspects of the data
  • Statistical Analysis
  • Correlation Analysis (positive and
  • negative correlation, multicollinearity)

Module 5 - Modeling(Machine Learning Models)

  • Creating All Machine learning Models (Theory and Code Implementation)
  • Regression: From Scratch and with modules
  • Linear regression
  • Polynomial Regression
  • Multiple Linear Regression
  • Classification
  • KNN(K- Nearest Neighbor)
  • SVM (Support Vector Machine)
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Naive Bayes
  • Parameter Optimization using Grid Search

Module 6 - Evaluation

  • Model Evaluation with various parameters
  • SE, MSE, MAE, RMSE, R2 score, etc.
  • Confusion Matrix, Accuracy, Precession, Recall, Fl Score
  • K-fold Cross Validation

Module 7 - Dashboarding Storytelling, Model deployment

  • What is Dashboarding
  • Creating dashboards and Reports
  • Creating a web app for your model
  • Deploying your model App into localhost
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Advance plans

Choose your plan of action. Grow and ace with us.

Data Science [Self Paced]

5700

 

  • ✅ Self Paced Learning Course for Data Science
  • ✅ Learn to handle hardware and OS using Linux
  • ✅ Get control of your projects using YARN, GitHub and Git Bash
  • ✅ Kickstart your learning by getting an understanding of the Python language
  • ✅ Establish your mastery of Data Science and Analytics techniques using Python programming
  • ✅ Learn Maths and Statistics concepts required to work with data
  • ✅ Master machine learning techniques, including supervised and unsupervised learning and hands-on modeling
  • ✅ Understand the concepts of NLP, Deep-learning, Data Visualization and Analytics
  • ✅ Intern with us on live projects.
  • ✅ Hands-on projects to apply what you have learned and develop your skills in a real-world setting.
  • ✅ Get certified with us and stand out in the job market
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Data Science [Mentor Led]

8500

 

  • ✅ Mentor Led Course for Data Science
  • ✅ Learn to handle hardware and OS using Linux
  • ✅ Get control of your projects using YARN, GitHub and Git Bash
  • ✅ Kickstart your learning by getting an understanding of the Python language
  • ✅ Establish your mastery of Data Science and Analytics techniques using Python programming
  • ✅ Learn Maths and Statistics concepts required to work with data
  • ✅ Master machine learning techniques, including supervised and unsupervised learning and hands-on modeling
  • ✅ Understand the concepts of NLP, Deep-learning, Data Visualization and Analytics
  • ✅ Intern with us on live projects.
  • ✅ Hands-on projects to apply what you have learned and develop your skills in a real-world setting.
  • ✅ Regular Doubt Clearing Session to ensure you have the opportunity to ask questions
  • ✅ Our Experienced mentors will provide personalized feedback and support to help you succeed.
  • ✅ Become a part of an invaluable network and connect with them.
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Contact Details

 

 
 
 
 

Total Amount

 

Capstone projects

Undergo practical learning and work on real time projects

Build Data Science Project using Capstone
Warranty Cost prediction
Daily Twitter Data Analysis for a Product
Natural Language Processing

Certification

For your dedication and commendable efforts to learning, for completion of the training as well as the projects accurately and within the timelines given, you earn industry-recognized certifications.

Who provides the certification?

On successful completion of your program, you are eligible to receive a certificate of completion from SkillVertex

How long is the certification valid for?

By taking an upskilling program with SkillVertex and completing your program, you get your certification which has validity of a lifetime.

How can I avail my certificate?

After completion of your program of entire training module and assessments, you are eligible to obtain your certificate from SkillVertex.

Testimonials

What our Students say about us

What are the available modes of payment?

As a user, you can avail a the payment mode of your choice. The available modes are: UPI, debit/credit card, No cost EMI, Netbanking/Mobile banking.

What is the duration of the programs?

When enrolling into SkillVertex's training upskilling programs, you are associated with us for a duration of 2 months. Where as, with SkillVertex's Advance Upskilling programs, you are associated with us for a duration of 5 months.

Who will I be mentored by?

At SkillVertex, you are mentored by industry experts who have been/are working in the industry for a decent time and have a strong grasp in their domain of expertise. The process is tailored to provide concept clear training and practical hands-on learning during your upskilling journey.

Is there any option of easy monthly installments to avail my program?

With No cost EMI as a mode of payment, you can easily avail the same if you qualify a basic eligibility criteria.