Data Analytics Stack

Arts & Science COURSES

The stack is built with niche programs that are required for every job role that is existing and emerging in the areas of data science and analytics. Learners will demonstrate proficiency in business analysis methods and in data analytic tools and develop data-driven solutions to support decision-making in real-world business situations.

About the Course

Data Analytics today an important and pivotal role today in many industries. The massive amounts of data that are being produced in every industry demands a huge need for a deeper data analysis, which can derive meaningful information and bring out meaningful results for making the right business decisions. Over the last few years, many companies have started implementing data science techniques to grow their businesses and improve their performance. This brings in huge career opportunities in the areas of Data Science for graduates and professionals pursuing careers in data analytics.

Data Analytics Stack from L&T EduTech is built with well-rounded courses covered in the areas of Data Science and Analytics. The course is intended to further your career in Data Science by learning from world-class training and methodology.

Learning Outcomes

Learners will understand various analytical models for data-driven decision-making by leveraging technology for Business Analytics and become experts in data modelling, visualization and predictive analysis.

Key topics

Data wrangling
Statistical methods
Python programming
Data visualization using Excel
Artificial Intelligence

R programming
Data management foundations
Managing databases with SQL and MongoDB
Machine Learning
Deep Learning algorithms

Data warehousing
Tableau
Power BI
Google Studio

DATA ANALYTICS STACK

FUNDAMENTALS OF DATA ANALYTICS

Introduction to Data Analytics

Problem-Solving Techniques

Spreadsheet Modelling and Data Wrangling

Descriptive and Inferential Statistics

Probability and Hypothesis Testing

Mathematics for Data Analytics

PROGRAMMING FOR DATA ANALYTICS

Introduction Python Packages and Syntax

Data Analysis Using Python

Introduction to R Packages and Syntax

Data Analysis Using R

Flex Dashboard and R-shiny

Introduction to Julia Programming

DATA ENGINEERING FOUNDATION

Database Management Using SQL

NoSQL Query Using MongoDB

Introduction to MongoDB Compass

Introduction to Data Warehouse

DATA-DRIVEN STORYTELLING AND VISUALIZATION

Data Visualization Using Tableau

Data Visualization Using Power Bl

Data Visualization Using Google Studio

Data Visualization Using MS Excel

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Supervised Machine Learning Algorithms

Unsupervised Machine Learning Algorithms

Model Selection and Feature Engineering

Introduction to Al

TensorFlow and Neural Networks

Deep Learning Algorithms -ANN, CNN

Recommendation Systems

SOCIAL MEDIA AND BIG DATA ANALYTICS

Natural Language Processing

Web Scraping

Social Media APIs and Analysis

Introduction to Big Data Analysis

Tools for Big Data – PIG, HIVE

Big Data Analysis Using SPARK

Big Data Analysis Using SCALA

Our Experts

JOTHIGANESH NAGARAJAN

Vice President – IT Transformation, New Way of Working Group (NWOW), LTI; 3+ decades of experience in the IT Industry

Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation