Data Science Training

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Data Science Course Overview

Softlogi Data Science course provides you with a complete package to become a knowledgeable Data Scientist. The training focuses on furnishing you with in-depth knowledge of data science right from its usage and applications, R statistical computing, data manipulation, data visualization, applying descriptive and inferential statistics on the data, and much more. Besides, you’ll also gain practical knowledge by executing real-time projects and providing solutions to the problems. In a nutshell, this Data Science online training makes you fully confident in facing interviews and working as a Data Scientist.

30 Hours of Sessions

Free Demo on Request

20 Hours of Labs

24/7 Lifetime Support

Flexible Schedule

One-on-One Doubt Clearing

Certification Oriented Curriculum

Real-time Project Use Cases

Data Science Course Content

Data Science course content at Softlogi is designed by the expert authors who hold firm real-time experience in artificial intelligence, machine learning, deep learning, and many other latest technologies. Our latest 2022 Data Science course curriculum focuses on present industry requirements and helps you to successfully crack data science interviews and upgrade your career path.

You will learn the complete data science syllabus under the following sections

Data Science Basics

In this module, you will learn the basics of data science and R programming, Importance of Data Science.

Topics covered in this section are:
  1. What is Data Science
  2. Significance of Data Science in today’s world.
  3. R Programming basics
Learning Outcomes

By the end of this module, you will get a fundamental idea about data science and R programming.

Python Fundamentals

This python fundamentals module discusses the python concepts required for a data scientist. 

Topics covered in this section are:
  1. Python Introduction
  2. Indentations in Python
  3. Python data types and operators
  4. Python Functions
Learning Outcomes

By the end of this module, you will get the basic Python programming knowledge.

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Data Structures and Data Manipulation

This module deals with the basic concepts of data structures and data visualization.

Topics covered in this section are: 
  1. Data Structures Overview
  2. Identifying the Data Structures
  3. Allocating values to the Data Structures
  4. Data Manipulation Significance
  5. Dplyr Package and performing different data manipulation operations.

Data Visualization

Statistics

Logistic Regression

Introduction to Machine Learning

Random Forest & Decision Trees

Supervised / Unsupervised Learning

Natural Language Processing

LEARNING OUTCOME

Mathematics for Data Science

Upon completing this module, you will be able to understand the significance of Data structures and Data manipulation in Data science.

Hands-on Data Science Projects

Our Data Science Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

Project 1: Taking Insurance Policy
Project 2: Deciding Traffic on the Road
Project 3: Analyzing Customers buying decision ‘Yes’ or ‘No’
Project 4: Developing a mobile application
Project 5: Setting up a new plant, factory, company, shopping mall or an institute
Project 6: Investing in the stock market
Project 7: Changing job stream

Project 8: Recommending a movie

Project 9: Detecting credit card fraudulence
Project 10: Expanding Uber services
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