About The Course

Data analytics is all about handling an enormous amount of data and deriving meaningful insights for a given business. Every organization in today’s world has access to big data that can help them find ways to grow their business. This can be achieved through a Data Analyst. Data Analysts apply a combination of their skills in mathematics, statistics, programming and other similar streams to structure large data sets. The rising volumes of data and the need to study this data for decision-making has led to a huge surge in the demand for data analysts across the globe.

Eligibility

Graduation in Engineering, Math or Statistics and a passion for data analysis

Time Commitment

5 weeks full time

Format

Virtual Instructor-Led Training

Language

English
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Course Content

Data Analytics Overview
  • Life Cycle
  • Machine Learning/Big Data
  • Tools
SQL – Database for Data Analytics
  • Environment Creation
  • Connecting with Python
  • Data Types
  • Table Creation
  • SQL Queries
Python Basics
  • Python Advantage
  • Python Installation/Anaconda Installation
  • Basics Of Python
  • Variables
  • Data Types
  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • Exceptions
  • If Then Else
  • For Loop
  • While Loop
  • Lambda Function
  • Module
Statistics Basics
  • Descriptive Statistics
  • Cumulative Distribution
  • Continuous Distribution
  • Probability
  • Operations on distributions
  • Hypothesis testing
  • Correlation
Data Extraction
  • Data Extraction methods
  • Raw Data/Processed Data
  • Text format to Data frame
  • JSON to Data frame
  • PDF to Data frame
  • Excel to Data frame
  • Web to Data frame
Python EDA
  • Data Cleaning Pandas
  • EDA
  • Data Pre-processing
  • Imbalanced
Data Visualization
  • Types of Graphs
  • Seaborne
  • Matplotlib
  • Plotly
  • Missing no
Machine Learning Algorithms
  • Introduction
  • Process Flow
  • Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • XGBoost
  • Unsupervised Learning
  • K Means
Data Analytics Application Lifecycle
  • Data Structure and Tools
  • Live Projects and Use Cases
Natural Language Processing
  • Text Classification Applications
  • Similarity Recommendation App
Chat Bot/ Voice Bot Applications
  • Develop a Live Chat Bot
Data Science Application Lifecycle
  • Data Structure and Tools
  • Live Projects and Use Cases
Image Processing Applications – Overview

Why Study With Us?

Trainer Profile Sample

Work Experience
Core Technology Faculty
  • 15 + Years of experience in 5 continents data analytics team
  • Masters in Software Engineers
  • Worked on building accurate models in predicting the companies’ profits with 98% success rate
  • Provided analytical solutions for business decisions in critical situations
  • Handled end to data analytics life cycle projects of Banking, Insurance, Manufacturing Industries

Skills
  • Database: SQL, Oracle
  • Language: Python, R, PySpark
  • Tools: Tableau, Power BI
  • Other Skills: Statistics, Machine Learning

Education and Awards
  • PhD in Data Science
  • Masters in Engineering (Computer Science)
  • IBM Certified Data Analyst

FAQs

Who can join this program?

The minimum qualification required is a Bachelor’s degree with statistics or mathematics or a Bachelor’s in engineering with programming skills.

Whether experience is required to join this program?

Fresh graduates as well as experienced professionals can join this program.

How is the market demand for Data Analysts?

Large volumes of data collected for organizations goes unutilized due to lack of certified data analysts. Companies have started investing huge money in recruiting analysts who can analyze large data sets to bring out meaningful information and make business decisions. The future of organizations is heavily dependent on the prediction capability of its Data Analytics team.

Will I get any placement support after completing the Data Analytics program?

Yes, you will get placement assistance from NLL Academy.

What is the average salary of a Data Analyst?

The average annual compensation of a data analyst is $85,000 in USA, depending on the project exposure.
The average annual compensation of a data analyst ranges between Rs.4,00,000 and Rs.15,00,000 in India, depending on the project exposure.

What are the usual job roles available after completing a Data Analytics program?

After completion the Data Analytics course, you may work as a Junior Data Analyst, Data Analyst or Business Data Analyst.

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