Data Analytics Course

ROICIANS

Course Information

Level	Intermediate
Batch Availability	Weekdays, Weekend
Mode of Class	Classroom, Online, Hybrid
Duration	39 hours

Key Features

Hands-on Learning Program

Get trained from working professional

Get trained as per market Trend

work on live projects

Training on all latest tools and skill

Continuous Interview preparation

Complete job assistance (Canada only)

Mock interview session from working QA professionals

Course Overview

Our Data Analytics Course is designed to provide Practical Learning and implementation of all the end-to-end lifecycle of a Data Analytics project. We Train on the latest tools related to Data Analytics that match the Latest Data Analyst Jobs Description. This course is indented to provide both communications and technical learning.

Candidate should have Bachelor degree or college diploma in Computer Science/Information
Technology/Computer Applications/ Computer engineering.
One should be good team player.

Anyone who wants to start in the IT industry.
Anyone who wants to enhance their career as Data Analyst.
Data Analysts who want practical implementation and enhance their knowledge on latest tools.
Anyone with no or minimal IT Experience.
Anyone who wants a stable career in IT industry.
If you don’t have IT Experience but want to get into IT.
If you Know Data Analytics, but are not getting any interview calls

Plenty of job opportunities, as data is increasing day by day, and the demand for Data Analysts is
also increasing tremendously.
If you do not possess any IT experience, you can still easily obtain a Junior Data Analyst position.
Salary range is increasing dramatically day by day.
There is no ‘dead-end’ job search period for a Data Analyst, as it is always in high demand.

Get trained from Working Professionals with years of expertise: We have Specialist who knows market trend and latest tools and will train you on Live working projects

We offer Java training from basics to required level: Keeping in mind that even Non IT individual also join this, we provide training on Java from basic to advance, so no prior knowledge is required in java

We provide daily interview sessions according to current market: We believe training is only beneficial, if you can fetch job. So our specialists prepare students for interviews from day one. We prepare you for all interview Questions that could be asked

Evaluation and interview from technical recruiters: We call technical recruiters to evaluate you, these are the people who actually hires in companies. So they Check whether you can pull it up or not.

Training on different web based Live applications: We provide practical Training on Live projects, so that you can learn what practical scenarios for Selenium Testing could be. This helps a lot in interviews

Training on all latest frameworks and browsers: Selenium is all about creating Frameworks and working on different browsers, so along with Live Projects, student will be creating their own frameworks.

Course Curriculum

Working with a Data Server:

• Create a Data Server
• Login to your Data Server
• Create a Data Analytics environment on your Data Server

Python3 & Jupyter notebook
Bash
Install Python libraries relevant to Data Analytics
Install csvkit for Bash

Introduction to Bash

• Working with directories
• Using Bash to download a 7-million-row dataset
• Exploring raw data using Bash
• Options in Bash for wordcount
• Piping in Bash
• ‘grep’ in Bash
• Variables in Bash
• Looping in Bash

‘while’ loop in Bash scripts
‘if’ statements

• Regular Expressions in Bash
• Working with ‘dates’ in Bash

Introductions to Statistics and the Analytics Methodology

Descriptive Statistics

Measures of Central Tendency
Measures of Dispersion
Measures of Relationship

• Inferential statistics

4 techniques of Population Sampling

• Types of data
• 6 stages of the Analytics Methodology
• Introduction to Databases and SQL

SQL

• DDL statements
• DML statements
• Aggregation functions, GROUP BY
• CTE’s
• JOINs
• Single-Line Functions

String functions
Date and Time functions
Numeric functions

• UNIONS
• MINUS
• INTERSECT
• CASE
• COALESCE
• Window functions

Introduction to Python:

• Datatypes in Python
• Loops & conditional statements
• User-defined functions
• Variables
• Built-in functions
• Objects in Python

Mutable objects:
❖ List
❖ Dictionary
❖ Numpy arrays
Immutable objects:
❖ Strings
❖ Tuples

• Operations on Numpy arrays
• Using Pandas
• Data Visualization using Python

Machine Learning (ML)

• Data Cleaning process
• EDA (Exploratory Data Analysis) process
• Exploring Time Series data
• 4 Methods for Time Series forecasting
• Adjustments and Transformations on Time Series data
• Predictive Modelling methods:

Overview of common ML algorithms
Regression:
❖ Intro to Linear Regression
❖ Interpreting Regression results
Building the best ML model
Feature Engineering
Dummy variables
Classification approach:
❖ k-NN algorithm

PowerBI

• Intro to PowerBI

Get data spreadsheets
Power Query Editor
Joining tables
DAX
Adding new measures
Format data
Transform data
Buttons, Themes,
Filters, Slicers, visualizations

• Employee Demographics dashboard
• Survey Data dashboard

Course Schedule

Start Date	Weekend/ Weekdays	Timing	Location	Action
19 Jan 2025	Weekends (Saturday + Sunday)	10:00 - 1:00 PM	Online	Enroll Now

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