Edali Preloader

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

  • 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

ms access
power bi
python
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Data Science

Program Contents

  • 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
  • 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
  • Python Refresher
  • Python Basics
  • Python Data Structures
  • Python Programming Fundamentals
  • File handling in Python
  • Numpy
  • Pandas
  • SciPy
  • Matplotlib
  • Seaborn
  • 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
  • Supervised Learning
  • Classification
  • Regression
  • Estimation
  • Unsupervised Learning
  • Clustering
  • Prediction
  • Reinforcement Learning
  • Decision Making
  • 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
  • Introduction to Big Data and Apache Spark
  • Apache Spark framework and RDDs
  • PySpark SQL and Data Frames
  • Introduction to Hive
  • 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
  • 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
  • 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
  • Introduction to Deep Learning and Neural Networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks and various methods
  • Deep Learning libraries
  • 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

Advance plans

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

₹ 30,000

PRO

Save up to 30% each month

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  • Live sessions
  • Recorded video lectures
  • Direct mentoring
  • Doubt clearing sessions
  • Industrial projects
  • Certifications
  • Personality development
  • Resume building
  • Internship assistance
  • Aptitude grooming
  • Group discussion
  • Placement assistance

Duration: 4 months

₹ 35,000

PREMIUM

Save up to 30% each month

Buy now
  • Live sessions
  • Recorded video lectures
  • Direct mentoring
  • Doubt clearing sessions
  • Industrial projects
  • Certifications
  • Personality development
  • Resume building
  • Internship opportunities
  • Aptitude grooming
  • Group discussion
  • Placement assistance

Duration: 5 months

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
Testimonials

What our Students say about us

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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.

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.

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.

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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