Data Analytics

Statistics | Python| Visualization| Forecasting | Segmentation | Natural Language Processing | Image Processing

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

Course Content

  • Life Cycle
  • Machine Learning/Big Data
  • Tools
  • Environment Creation
  • Connecting with Python
  • Data Types
  • Table Creation
  • SQL Queries
  • 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
  • Descriptive Statistics
  • Cumulative Distribution
  • Continuous Distribution
  • Probability
  • Operations on distributions
  • Hypothesis testing
  • Correlation
  • 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
  • Data Cleaning Pandas
  • EDA
  • Data Pre-processing
  • Imbalanced
  • Types of Graphs
  • Seaborne
  • Matplotlib
  • Plotly
  • Missing no
  • Introduction
  • Process Flow
  • Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • XGBoost
  • Unsupervised Learning
  • K Means
  • Data Structure and Tools
  • Live Projects and Use Cases
  • Text Classification Applications
  • Similarity Recommendation App
  • Develop a Live Chat Bot
  • Data Structure and Tools
  • Live Projects and Use Cases

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

The minimum qualification required is a Bachelor’s degree with statistics or mathematics or a Bachelor’s in engineering with programming skills.
Fresh graduates as well as experienced professionals can join this program.
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.
Yes, you will get placement assistance from NLL Academy.
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.
After completion the Data Analytics course, you may work as a Junior Data Analyst, Data Analyst or Business Data Analyst.

Contact us now for detailed curriculum and more!