Data Science Course with Guaranteed Placement

Offered byInternshala

Data Science Course with Guaranteed Placement
at
Internshala
Overview

Gain a solid foundation in data science and be well-equipped to take on data science roles in various sectors, including technology, finance, healthcare, retail, and more

Duration	6 months
Total fee	₹42,000
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Data Science Course with Guaranteed Placement
at
Internshala
Highlights

Earn a certificate after completion of the course
100% refund guarantee if not hired
Fee can be paid in installments
Resume building & AI-Powered mock interviews
Industry-level projects

Data Science Course with Guaranteed Placement
at
Internshala
Course details

Skills you will learn

Excel Python Data analysis MySQL

Who should do this course?

Individuals who have recently completed their undergraduate studies in fields such as computer science, mathematics, statistics, engineering, or related disciplines and wish to pursue a career in data science

Individuals currently working in entry-level data-related roles, such as data analysts or junior data scientists, who want to deepen their expertise and advance their careers

What are the course deliverables?

Python
Power BI
MySQL
Data Analysis
Machine Learning
Excel
Latest gen AI tools
ChatGPT

More about this course

The Data Science Course with Guaranteed Placement is a robust and comprehensive program designed to equip individuals with the essential knowledge and practical skills needed to excel in the field of data science

Participants will gain a thorough understanding of the data science process, from data collection and cleaning to advanced data analysis and predictive modeling

Learners will develop the expertise to manage and analyze large datasets, build machine learning models, and derive actionable insights from data

Data Science Course with Guaranteed Placement
at
Internshala
Curriculum

Introduction to Data Analytics

Introduction to Analytics

Business Analytics

Extracting Data Using Industry Standards

Project: J P Morgan classification for legal documents

Legal Document Classification: Leveraging J.P. Morgan's Data Analytics Framework

Data Management and Analysis with MS Excel

Project : KPMG Data Analysis using Excel

Getting Started with Excel

All about Functions and Formulas

Analyse and Summarise Data

Explore More Features in Excel

Automate with Excel

Project: KPMG Data Analysis using Excel

Enhancing decision making through data collection, data cleaning, data analysis, visualizations and a summary of insights

Data Visualization with Power BI\

Project : Airline Performance Analysis using Power BI

Understanding the Basics of Power BI

Data Preparation and Data Model Fundamentals

Manipulate Data, Create Model and Visualization

Intermediate Data Transformation and Visualization

Advanced Data Transformation and Visualization

All About Dax

Working on The Cloud

Project: Airline Performance Analysis using Power BI

FlightTrack: Empowering Airlines Through Performance Analysis with Power BI

SQL for Data Analysis and Insights

Project : Optimizing Retail Insights: A Walmart Case Study

Introduction to Database and SQL

First Step in SQL

Intermediate SQL

Advanced SQL

Project: Optimizing Retail Insights: A Walmart Case Study

A Comprehensive Data Analysis of Walmart Using SQL

Python Data Preparation & Analysis

Project : Electric Vehicles Market Size Analysis using Python

Introduction to Python

Flow Control

Data Structures and Functions

Error and File Handling

Python Libraries

Introduction to Statistics

Methods to Find Centralised Values

Inferential Statistics

Project: Electric Vehicles Market Size Analysis using Python

Currents of Change: Exploring Electric Vehicles Market Size through Python Analysis

Data Driven- Machine Learning

Project : Smart Pricing & Retention: Data-Driven Solutions for Airbnb and Telecom Industries A.Airbnb Price Prediction B.Customer Churn Prediction

Introduction to Machine Learning

Supervised Machine Learning

Unsupervised Machine Learning

Project: Smart Pricing & Retention: Data-Driven Solutions for Airbnb and Telecom Industries A.Airbnb Price Prediction B.Customer Churn Prediction

Predict the price of Airbnb listings entails gathering and preparing data, creating new features, and employing regression techniques to accurately estimate prices
Predict whether customers in the telecom industry will churn (switch service providers) using machine learning classification algorithms

NLP Essentials: Applications to Real-World Problems

Project : Text Intelligence: Sentiment Analysis of IMDb Reviews and News Article Classification

Introduction to Natural Language Processing

Understanding of Natural Language Processing

Advance NLP

Project: Text Intelligence: Sentiment Analysis of IMDb Reviews and News Article Classification

Analyze and predict the sentiment (positive or negative) of movie reviews from the IMDb dataset. This involves text preprocessing, feature extraction, and training various classification models to perform sentiment analysis on the reviews.
B. Classify news articles into categories like sports, politics, and technology using News Data Category. This involves scraping news articles, preprocessing the text, extracting features, and building classification models to categorize the articles accurately

Deep Learning Mastery: Data-Intensive

Introduction to Deep Learning

From Neural Networks to CNNs