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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.

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.
Join Course

Key highlights

  • 48+ 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 - Linux Operating System

  • Installing Linux on VirtualBox
  • Basic Linux Commands
  • Security and Networking
  • Using CLI
  • Linux Editors
  • Remote Controlling of a System
  • Setting up and using YARN
  • Advanced Linux Concepts

Module 2 - GIT

  • Version Control
  • Types of Version Control System
  • Introduction to SVN
  • Introduction to Git
  • Git Lifecycle
  • Common Git commands
  • Working with branches in Git
  • Merging branches
  • Resolving merge conflicts
  • Git workflow

Module 3 - Python for Data Science

  • Python Refresher
  • Python Basics
  • Python Data Structures
  • Python Programming Fundamentals
  • File handling in Python
  • Numpy
  • Pandas
  • SciPy
  • Matplotlib
  • Seaborn

Module 4 - Statistics

  • Central tendency
  • Variability
  • Hypothesis testing
  • Anova
  • Correlation
  • Regression
  • Probability definitions and notation
  • Joint probabilities
  • The sum rule, conditional probability, and the product rule
  • Bayes theorem

Module 5 - Introduction to Machine Learning

  • Supervised Learning
  • Classification
  • Regression
  • Estimation
  • Unsupervised Learning
  • Clustering
  • Prediction
  • Reinforcement Learning
  • Decision Making

Module 6 - ML Predictive Algorithms

  • Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis
  • Classification and Regression Trees
  • Naive Bayes
  • K-Nearest Neighbors (KNN)
  • Learning Vector Quantization (LVQ)
  • Support Vector Machines (SVM)
  • Random Forest

Module 7 - Data Science using PySpark

  • Introduction to Big Data and Apache Spark
  • Apache Spark framework and RDDs
  • PySpark SQL and Data Frames
  • Introduction to Hive

Module 8 - Data Visualisation using Tableau

  • Introduction to data visualization
  • Architecture of Tableau
  • Working with metadata and data blending
  • Creation of sets
  • Working with filters
  • Organizing data and visual analytics
  • Working with mapping
  • Working with calculations and expressions
  • Working with parameters
  • Charts and graphs
  • Dashboards and stories
  • Tableau Prep
  • Integration of Tableau with R

Module 9 - Data Analysis using MSExcel

  • Entering data
  • Referencing in formulas
  • Name range
  • Understanding logical functions & conditional formatting
  • Important formulas in Excel
  • Working with Dynamic table
  • Data transformation for analysis
  • Working with charts for data visualization
  • Pivot tables in Excel
  • Working with Macros in Excel and working with VBA

Module 10 - Data Wrangling using SQL

  • Introduction to SQL
  • Database normalization and entity-relationship model
  • SQL operators
  • Working with SQL: Join, tables, and variables
  • Deep dive into SQL
  • SQL Functions
  • Working with Subqueries
  • SQL views, functions, and stored procedures

Module 11 - Deep Learning using TensorFlow

  • Introduction to Deep Learning and Neural Networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks and various methods
  • Deep Learning libraries

Module 12 - Natural Language Processing

  • Overview of Natural Language Processing and text mining
  • Text mining, cleaning, and processing
  • Text classification
  • Sentence structure, sequence tagging, sequence tasks, and language modelling
  • Introduction to semantics and vector space models
  • Dialog systems
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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.

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