PG Certification in Data Analytics

BY
The Scholar via Nulearn

Learn more fundamental data analytics concepts so you can become a data analyst with The Scholar's online course for PG certification in Data Analytics

Mode

Online

Duration

6 Months

Fees

₹ 95000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based
Frequency of Classes Weekdays, Weekends

Course overview

The Scholar's PG Certification in Data Analytics is a one-of-a-kind program that combines theory and practice in the field of data analytics and its industrial uses. The program is targeted at creating qualified data analytics professionals. The course was taught by NuLearn and the certificate will be provided by the “The Scholar” Institute.

The goal of this PG Certification in Data Analytics training program is to train Data Analysts. There is a high demand for Data Analyst resources. As a result, it is obvious that existing resources, as well as new candidates interested in pursuing a career in this field, must be trained. The main goal is to develop a talent pool capable of meeting this demand. 

This course is designed to familiarize students with computational statistics applications and usage while also providing hands-on experience with real-world data analytics problems. This online course PG Certification in Data Analytics syllabus consists of  Python, PowerBI, Tableau, and SQL. This certification course is taught by Mr. Rahul Tiwary, Mr. Rakesh Sharma, and Miss Ritu Shukla, all of whom are highly experienced, industry mentors.

Also Read: Data Analytics certification course

The highlights

  • 6 months course duration
  • 100% job assistance
  • Live interactive learning
  • One-to-one with industry mentors
  • Building Project Portfolio
  • AI-based resume building
  • 25+ case studies and Capstone Projects
  • 24/7 LMS Access
  • Sessions by industry leaders
  • Portfolio building with Github
  • Real-time industry case studies with end to end implementation

Program offerings

  • Designed for fresher & working professionals
  • 90+ hours of depth learning
  • Dedicated customer support
  • Live interactive learning
  • Covering most demanding tools

Course and certificate fees

Fees information
₹ 95,000

The admission fee details for this online PG Certification in Data Analytics fee are Rs. 95,000, including GST. There are five installments in the payment process. 

Description

Amount

Course Exam Fee

Rs.95000

certificate availability

Yes

certificate providing authority

The Scholar

Who it is for

This course is eligible for those who are interested in the data analytics field, not only students but also professionals and executives at the middle and senior levels from for-profit and non-profit organizations working in all sectors and trades, and some of the below-following fields are eligible. 

Eligibility criteria

Eligibility criteria

Any graduate with a minimum grade of 50% and above is qualified to enroll in this PG certification in Data Analytics course; previous experience or programming knowledge is not necessary or required.

Certification Qualifying Details

The completion of the PG certification in Data Analytics  by The Scholar along with the Nulearn website. The applicants must pass the entrance exam and finish the program in order to receive the certificate; only students are then eligible to receive the diploma.

What you will learn

Knowledge of python Sql knowledge Tableau knowledge

After completion of this PG certification in Data Analytics course, this curriculum is intended to familiarize students with computational statistics applications and usage, as well as provide hands-on experience with real-world data analytics problems. Also, gain knowledge of data analytics.

The syllabus

Module 1: SQL

Introduction to Data Warehouse
  • What is data warehouse
  • Data warehouse architecture
  • Top down approach
  • Bottom up approach
  • Data lake architecture
  • Data lake and warehouse architecture
  • Data lake vs. Data warehouse
  • OLTP vs. OLAP
Facts and Dimensions
  • Additive Fact
  • Factless Fact
  • Non Additive Fact
  • Semi Additive Fact
  • Role playing dimension
  • Junk dimension
  • Degenerate Dimension
  • Conformed Dimension
  • Slowly Changing Dimension
Normal Forms
  • Normal Forms 1NF
  • Normal Forms 2NF
  • Normal Forms 3NF
  • Normal Forms 4NF
Introduction to Constraints - Part 1
  • Naming Rules
  • Data Types
  • Default Constraint
  • Primary Key Constraints
  • Foreign Key Constraints
Introduction to Constraints - Part 2
  • Not Null Constraint
  • Unique Constraint
Types of SQL Commands
  • Data Definition Language
  • Data Query Language
  • Data Manipulation Language
  • Data Control Language
  • Transaction Control Language
Operators and Clauses
  • Concatenation
  • Where Clause
  • Like Clause
  • Between and
  • Is null
  • Order by
Single Row Function - Part 1
  • Character
  • Number
  • Date
Single Row Function - Part 2
  • Conversion
  • General Functions
  • NVL
  • NVL2
  • COALESCE
  • Case When
  • Decode
Multi Row Function
  • Avg
  • Count
  • Min
  • Max
  • Stddev
  • Sum
  • Variance
Joins in SQL - Part 1
  • Different types of joins
  • Inner
  • Left Outer Join
  • Right Outer Join
  • Full Outer Join
Joins in SQL - Part 2
  • Self-Join
  • Non Equi Join
  • Cross Joins
Joins in SQL - Part 3
  • Self-Join
Single Row SubQuery
  • Detailed understanding of single row subquery
Multiple Rows SubQuery
  • Detailed understanding of multiple row subquery
  • In clause
  • Any Clause
  • All Clause
Multiple Column Sub Queries
  • Non Pairwise
  • Pairwise
  • Correlated Sub Queries
Exists and With Clauses
  • Detail understanding of Exists and With Clauses
Set Operators in SQL
  • Union
  • Union All
  • Intersection
  • Minus
Data Manipulation
  • Insert Statements
  • Update Statements
  • Delete Statements
  • Truncate
Views in SQL
  • Simple and Complex views
  • Update through views
Sequences, Synonyms and Index
  • Sequences and its uses
  • Synonyms and its uses
  • Index and its benefits and Drawbacks
Alter Statements in SQL
  • How to add the constraints
  • Alter statements
  • System tables
Multi Table Inserts
  • Unconditional Inserts
  • Conditional Inserts
  • Condition First Insert
  • Pivoting Insert
Merge in SQL
  • Update using Merge
  • Insert using Merge
Hierarchical Data Fetching
  • Connect by Prior
Regular Expressions
  • REGEXP_LIKE
  • REGEXP_INSTR
  • REGEXP_SUBSTR
  • REGEXP_REPLACE
  • REGEXP_COUNT
Analytics Functions - Part 1
  • Row Number
  • Rank
  • Dense Rank
Analytics Functions - Part 2
  • Row Number
  • Rank
  • Dense Rank
Materialized Views
  • Importance of Materialized Views
  • Complete on Demand
  • Complete on Commit
  • Fast on Demand
  • Explain Plan
SQL Interview Prep - Advanced Select
  • Understanding of advanced Select
SQL Interview Prep U+2013 Joins
  • Understanding of Joins and advanced joins

Module 2: Tableau

Tableau - An introduction
  • Understanding Tableau and its products
  • Tableau Public
  • Tableau Desktop
  • Tableau Reader
  • Tableau Online
  • Tableau Server
  • Tableau Prep
  • Tableau Mobile
Tableau - Creating first chart
  • Understanding the Calculated Field concept
  • If and Else statements
  • Left Function
  • Making data ready for visualization using Tableau Prep
Tableau - Mode of connection
  • Understanding the concept of Live and Extract connections
  • Data Source filters
  • Union and its usage
Tableau - Data from Heterogeneous data sources
  • Dive deep into the concept of Joins and how can we achieve in Tableau
  • Applying the data joining using Tableau Prep
  • Dive deep into the concept of Cross database joins
  • Applying Cross database joins using Tableau Prep
  • Understanding of Data Blending
  • Understanding the concept of Primary and Secondary data sources
Tableau - Data Blending in Tableau
  • Dive Deep into Data Blending
  • Understanding the usage of Data Joining, Cross Database Join and Data Blending
  • Solving the end-to-end problem using Data Blending
Tableau - Bins, Parameters and creating our first dashboard
  • Creating the map view and understanding the idea of maps
  • Creating the histogram and dynamic histogram using parameters
  • Creating Donut chart
  • Creating the stackbar chart
  • Creating the interactive dashboard
Tableau - Dashboard and Story
  • Difference between Tiled and Floating options
  • Adding the buttons to download the dashboard as ppt, image and pdf
  • Creating the story
  • Understanding the difference between Dashboard and Story
Tableau - Time series analysis
  • Understanding the concepts of Data dimension
  • Difference between Discrete and continuous date field
  • What is the relation between aggregation and Granularity?
  • How to apply normal filters or Quick Filters
  • Options in the Normal Filters or Quick Filters
  • Understanding on Context Filters
Tableau - Sets and Parameters for more dynamic visualization
  • Create a dynamic scatter plot using the concepts of Sets and Parameters
  • Understanding the concept of sets
  • Understanding the concept of Static Sets
  • Understanding the concept of Dynamic Sets
  • How to tag parameters with sets to make it dynamic sets
  • How to tag parameters with reference lines
Tableau - Combined Sets and Formatting of the visuals
  • Understanding the concept of Combined sets
  • Formatting the visuals
  • Adding sets as filters
Tableau - Animation in Tableau - Data Prep
  • Formatting the data as per the requirement using Tableau Prep
  • Formatting the data as per the requirement using Tableau Desktop
  • Advantage and Disadvantage of using Tableau Desktop as data preparation tool
Tableau - Animation in Tableau - Visualization
  • Creating the animated scatter plot using Animation concept
  • How to animate the chart using page shelf
  • Which data to choose as Primary data source
  • Formatting the plot
  • Sorting the secondary data source
  • Adding show history option in the animation
Tableau - Level of Details (Include)
  • Understanding the concept of Include Function
  • Creating the visual using Include function in Tableau
Tableau - Level of Details (Include and Exclude)
  • Implementing the include function on the real time use case
  • Creating the visual using Include function in Tableau
  • Understanding the concept of Exclude and where to use it
  • Implementing the exclude function on the real time use case
  • Creating the visual using exclude function in Tableau
Tableau - Level of Details (Fixed)
  • Understanding the concept of Fixed and where to use it
  • Implementing the Fixed function on the real time use case
  • Creating the visual using Fixed function in Tableau
Tableau - Level of Details (Real time use cases)
  • Customer Order Frequency
  • Cohort Analysis
  • Daily Profit KPI
  • Percentage of Total
  • New Customer Acquisition
  • Average of top deals by city
  • Actual vs. Target
  • Value on the last day of the period
  • Return Purchase by cohort
  • Percentage difference from average across a range
  • Relative Period Filtering
  • User login frequency
  • Proportional Brushing
  • Annual Purchase frequency by customer cohort
  • Comparative sales analysis
Tableau - Table Calculation - Data Prep Part 1
  • Preparing the data using Tableau Prep
  • Understanding the datetime dimension and its purpose
Tableau - Table Calculation - Data Prep Part 2
  • Preparing the data using Tableau Desktop
  • Pivoting using Tableau Prep
  • Pivoting using Tableau Desktop
Tableau - Table Calculation - Functions Part 1
  • Running Sum
  • Difference
  • Percentage Difference
  • Understanding Table Across, Table Down
  • Fixing the calculation by dimension
  • Understanding the difference between Table calculation and Calculated Field
  • Dive deep on the functions Lookup, ZN
Tableau - Table Calculation - Functions Part 2
  • Moving Average
Creating the logic for Quality assurance in the output

Module 3: Python

Module 4: Power BI (Self Paced)

  • Introduction to PowerBI and its architecture
  • Import data from CSV files
  • Import data from Excel files
  • Import data from Web 1
  • Import data from Web 2
  • Import Real-time Streaming Data
  • Import data from Oracle
  • Import Data from Folder
  • Dataflows - Introduction
  • Dataflows - Create Gateway from Scratch
  • Dataflows - Create Entities from CSV file
  • Dataflows - Create Entities Using SQL Server
  • Remove Rows
  • Remove Columns
  • Make first row as headers
  • How to create calculate columns
  • How to remove duplicates
  • Unpivot columns and split columns
  • Change Data type, Replace Values and Rearrange the columns
  • Append Queries
  • Merge Queries
  • Visuals Intro
  • Visuals-Bar Charts
  • Visuals-Line Charts
  • Visuals-Pie Chart
  • Stacked bar Chart
  • Clustered Column Chart
  • Visuals-Area Chart and Analytics Tab Explained-0
  • Visuals-Area Chart and Analytics Tab Explained-1
  • Visuals-Combo Chart
  • Visuals-Scatter Chart
  • Visuals-Treemap Chart
  • Visuals-funnel Chart
  • Visuals-Card and Multi-Row Card
  • Visuals-Gauge Card
  • Visuals-KPIs
  • Visuals-Matrix
  • Visuals-Table
  • Visuals-Text boxes - Shapes - Images
  • Visuals-Slicers
  • Visuals-Maps
  • Custom Visuals - Word Cloud
  • Visualization interactions
  • Modeling and Relationships
  • Other ways to create Relationship
  • OLTP vs OLAP
  • Star Schema vs Snowflake Schema
  • DAX101 - Importing Data for Dax Learning
  • DAX101 - Resources for Dax Learning
  • DAX101 - What is Dax
  • DAX101 - Dax Data Types
  • DAX101 - Dax Operators and Syntax
  • DAX101 - M vs Dax
  • DAX101 - Create a Column
  • DAX101 - Rules to Create Measures
  • DAX101 - Calculated Columns vs Calculated Measures-0
  • DAX101 - Calculated Columns vs Calculated Measures-1
  • DAX101 - Sum()
  • DAX101 - AVERAGE()-MIN()-MAX()
  • DAX101 - SUMX()
  • DAX101 - DIVIDE()
  • DAX101 - COUNT()-COUNTROWS()
  • DAX101 - CALCULATE()-0
  • DAX101 - CALCULATE()-1
  • DAX101 - FILTER()
  • DAX101 - ALL()
  • DAX101 - Time Intelligence - Create Date Table in M (important)
  • DAX101 - Time Intelligence - Create Date Table in DAX
  • DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()
  • DAX101 - Time Intelligence - TOTALYTD()
  • DAX101 - Display Last Refresh Date
  • DAX101 - Time Intelligence - PREVIOUSMONTH()
  • DAX101 - Time Intelligence - DATEADD()
  • DAX101 - Quick Measures
  • PowerBI Reports
  • PowerBI Workspaces
  • PowerBI Datasets
  • What are Dashboards
  • How to create Workspace and Publish Report
  • Favorite dashboards, reports, and apps in Power BI
  • Subscribe to a Report or Dashboard
  • Rename Workspace or Report or Dashboard
  • Display Reports or Dashboards in Full screen mode
  • Delete Reports or Dashboards
  • Dashboard Menus
  • File and View Options
  • Printing Dashboard and Reports
  • PATH Function
  • PATHCONTAINS Function
  • PATHITEM Function
  • PATHITEMREVERSE Function
  • PATHLENGTH Function
  • RLS - Static Row Level Security
  • RLS - Dynamic Row Level Security
  • RLS - Organizational Hierarchy
  • Sharing and Collaboration
  • Sharing Dashboard
  • Sharing Workspaces
  • Sharing App
  • Publish To Web

Admission details

Students may take the following steps to gain admission to the PG Certification in Data Analytics course classes:  

Step 1: Follow the official URL: https://www.nulearn.in/courses/pg-certification-in-data-analytics

Step 2: On the Digital Scholar website, the participants have to register themselves.

Step 3: Admission is confirmed only after the participant can register and log in.

Evaluation process

Exam certification for this PG certification in Data Analytics online course consists of two steps: an aptitude test, a personal interview with an academic expert, an admission letter, and enrollment.

How it helps

This online PG Certification in Data Analytics benefits everyone who wants to become a trained data analyst. There is a high demand for data analyst resources. This course is intended to introduce students to computational statistics applications and usage while also giving them hands-on experience with real-world data analytics problems. Python, PowerBI, Tableau, and SQL are part of the syllabus

Instructors

Mr Rahul Tiwary

Mr Rahul Tiwary
Instructor
Freelancer

Mr Rakesh Sharma

Mr Rakesh Sharma
Instructor
Freelancer

Ms Ritu Shukla
Senior Data Analyst
Freelancer

FAQs

What is the average salary for this position after the completion of this PG certification in Data Analytics online course?

Those who complete this online degree earn an average annual salary of $9.25 lakhs.

What is the highest salary for this data analyst course?

The highest annual salary for this data analyst is Rs 28 lakhs.

What are the training programs available for this course?

This training program is highly industry-focused and will help you clear interviews on your first or second attempt. You will also receive round-the-clock support and 100% placement assistance from the expert team

Are there any installments for the fee payments?

Yes, there are five installment methods, including GST.

Who explains this online course on the Nulearn platform?

The highly experienced professional mentors from the nulearn platform explain this online course.

What are the skills you are gaining for interview purposes by taking this online course?

It helps you create an impressive resume and LinkedIn profile, a GitHub profile that recruiters find difficult to reject, and get interview tips for getting placed with huge salaries.

Who issues the completion certificate for this online PG certification in Data Analytics?

A certificate of completion for this online course is provided by "The Scholar."

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books