Paid Course
Preview this course

Master of Data Analytics Program (Recorded)

The program aims to help learners develop a strong skill set including business analytics, descriptive statistics, probability, predictive modeling, visualization, and data architecture strategies as well as master the domain knowledge required to excel in this field. This online program is designed to help you learn industry-standard tools & techniques for Data analytics, build real-world projects, and start your Data analytics career
Actual Price ₹ 14999 , Offer Price ₹ 9999
The iScale

Course Roadmap

Course Details
4 Topics
Curriculum SQL
Curriculum Python
Curriculum Power BI
Curriculum Excel
MODULE 01 : Python Basics
10 Topics
2nd -Variables & operators | Part 1
1st - Introduction to Python
Unit 2 Assignment Explanation Video
3rd -Variables & operators | Part 2
4th - Built-in Functions | Part 1
5th - Built-in Functions | Part 2
Unit 3 Assignment Explanation Video
6th - Conditional Statements | Part 1
7th - Conditional Statements | Part 2
Unit 4 Assignment Explanation Video
MODULE 01 : Python Foundation
9 Topics
8th - Concepts of Loops | Part 1
9th - Concepts of Loops | Part 2
10th - Concepts of Loops | Part 3
Unit 5 Assignment Explanation Video
11th - User Defined Functions | Part 1
12th - User Defined Functions | Part 2
13th - User Defined Functions | Part 3
Unit 6 Assignment Explanation Video
14th - Strings in Python | Part 1
MODULE 01 : Python Moderate 1
9 Topics
15th - Strings in Python | Part 2
16th - Strings in Python | Part 3
17th - Strings in Python | Part 4
Unit 7 Assignment Explanation Video
18th - List in Python | Part 1
19th - List in Python | Part 2
20th - List in Python | Part 3
Unit 8 Assignment Explanation Video
21st - Tuples in Python | Part 1
MODULE 01 : Python Moderate 2
9 Topics
22nd - Tuples in Python | Part 2
Unit 9 Assignment Explanation Video
23rd - Set in Python | Part 1
24th - Set in Python | Part 2
25th - Set in Python | Part 3
Unit 10 Assignment Explanation Video
26th - Dictionary in Python | Part 1
27th - Dictionary in Python | Part 2
Unit 11 Assignment Explanation Video
MODULE 02 : Python Libraries Level 1
7 Topics
28th - Numpy Library | Part 1
29th - Numpy Library | Part 2
30th - Numpy Library | Part 3
31st - Numpy Library | Part 4
32nd - Numpy Library | Part 5
33rd - Numpy Library | Part 6
34th - Numpy Library | Part 7
MODULE 02 : Python Libraries Level 2
11 Topics
35th - Pandas Library | Part 1
36th - Pandas Library | Part 2
37th - Pandas Library | Part 3
38th - Pandas Library | Part 4
Pandas Titanic Data Set
Pandas Taxonomy Dataset Taxonomy.Csv
Pandas Dataset Services
LUSID Excel - Setting Up Your Market Data
39th - Matplotlib Library | Part 1
40th - Matplotlib Library | Part 2
41st - Matplotlib Library | Part 3
MODULE 02 : Python Libraries Level 3
3 Topics
42nd - Matplotlib Library | Part 4
43rd - Matplotlib Library | Part 5
44th - Matplotlib Library | Part 6
Project- Covid-19 Impact Analysis
5 Topics
Covid-19 Impact Analysis Part-01
Covid-19 Impact Analysis Part-02
Covid-19 Impact Analysis Part-03
Covid 19 Impact Analysis Notes IHHPET
Covid 19 Impact Analysis Data Set IHHPET
Project- Google Image Scrapping
3 Topics
Google Image Scrapping Part-01
Google Image Scrapping Part-02
Google Image Scrapping Project Data Set
Project- WhatsApp Chat Analysis
6 Topics
WhatsApp Chat Analysis Part-01
WhatsApp Chat Analysis Part-02
WhatsApp Chat Analysis Part-03
WhatsApp Chat Analysis Part-04
WhatsApp Chat Analysis Project Notes
WhatsApp Chat Analysis Project Data Sets
MODULE 03- SQL | Notes & Study Materials
27 Topics
SQL Premium Syllabus
O'Reilly Head First SQL- Book 1
Data Analysis Using SQL And Excel - Book 2
Unit 3 SQL Notes
Unit 4 SQL Notes
Unit 5 SQL Note
Unit 6 SQL Notes
Unit 7 SQL Notes
Unit 8 SQL Notes
Unit 9 SQL Notes
Unit 9 SQL Data Set
Unit 10 SQL Notes
Unit 10 SQL Data Set
Unit 10 SQL Operators
Unit 11 SQL Notes
Unit 12 SQL Notes
Unit 13 SQL Notes
Unit 14 SQL Notes
Unit 15 SQL Notes
Unit 16 SQL Notes
Unit 17 SQL Notes
Unit 17 SQL Data Set
Unit 18 SQL Notes
Unit 18 SQL Data Set
Unit 19 SQL Notes
Unit 19 SQL Data Set
Unit 20 SQL Notes
MODULE 03- SQL | Unit 01-04
15 Topics
M3 / Unit 01 / Lecture 1
M3 / Unit 01 / Lecture 2
M3 / Unit 01 / Lecture 3
M3 / Unit 01 / Lecture 4
M3 / Unit 02 / Lecture 1
M3 / Unit 02 / Lecture 2
M3 / Unit 02 / Lecture 3
M3 / Unit 03 / Lecture 1
M3 / Unit 03 / Lecture 2
M3 / Unit 03 / Lecture 3
M3 / Unit 03 / Lecture 4
M3 / Unit 04 / Lecture 1
M3 / Unit 04 / Lecture 2
M3 / Unit 04 / Lecture 3
M3 / Unit 04 / Lecture 4
MODULE 03- SQL | Unit 05-08
12 Topics
M3 / Unit 05 / Lecture 1
M3 / Unit 05 / Lecture 2
M3 / Unit 05 / Lecture 3
M3 / Unit 06 / Lecture 1
M3 / Unit 06 / Lecture 2
M3 / Unit 06 / Lecture 3
M3 / Unit 07 / Lecture 1
M3 / Unit 07 / Lecture 2
M3 / Unit 07 / Lecture 3
M3 / Unit 08 / Lecture 1
M3 / Unit 08 / Lecture 2
M3 / Unit 08 / Lecture 3
MODULE 03- SQL | Unit 09-14
13 Topics
M3 / Unit 09 / Lecture 1
M3 / Unit 09 / Lecture 2
M3 / Unit 09 / Lecture 3
M3 / Unit 10 / Lecture 1
M3 / Unit 10 / Lecture 2
M3 / Unit 10 / Lecture 3
M3 / Unit 10 / Lecture 4
M3 / Unit 11 / Lecture 1
M3 / Unit 11 / Lecture 2
M3 / Unit 12 / Lecture 1
M3 / Unit 12 / Lecture 2
M3 / Unit 13 / Lecture 1
M3 / Unit 14 / Lecture 1
MODULE 03- SQL | Unit 15-18
7 Topics
M3 / Unit 15 / Lecture 1
M3 / Unit 16 / Lecture 1
M3 / Unit 16 / Lecture 2
M3 / Unit 17 / Lecture 1
M3 / Unit 17 / Lecture 2
M3 / Unit 18 / Lecture 1
M3 / Unit 18 / Lecture 2
MODULE 03- SQL | Unit 19-20
2 Topics
M3 / Unit 19 / Lecture 1
M3 / Unit 20 / Lecture 1
MODULE 04- POWER BI
15 Topics
M4 / Unit 01 / Lecture 1
M4 / Unit 01 / Lecture 2
M4 / Unit 01 / Lecture 3
M4 / Unit 01 / Lecture 4
M4 / Unit 01 / Lecture 5
M4 / Unit 02 / Full Lecture
M4 / Unit 03 / Full Lecture
M4 / Unit 04 / Full Lecture
M4 / Unit 05 / Full Lecture
M4 / Unit 06 / Full Lecture
M4 / Unit 07 / Full Lecture
M4 / Unit 08 / Full Lecture
M4 / Unit 09 / Full Lecture
M4 / Unit 10 / Full Lecture
M4 / Unit 11 & 12 / Full Lecture
Project- Virat Kohli Performance
1 Topics
Full Project- Virat Kohli IPL Performance
Project- Netflix Stock
1 Topics
Full Project- Netflix Stock Dashboard
MODULE 05- ADVANCE EXCEL| Notes & Study Materials
8 Topics
Excel Premium Syllabus
Microsoft Excel 2019 - Book
Excel Shortcuts By Nishant Sir
Unit 1 Excel Data Set
Unit 2 Excel Data Set
Unit 3 Excel Data Set
Unit 4 Excel Data Set
Project Data Set- Analysis The Online Store Annual Report
MODULE 05- Basic Excel
9 Topics
M5 / Basic Excel / Lecture 1
M5 / Basic Excel / Lecture 2
M5 / Basic Excel / Lecture 3
M5 / Basic Excel / Lecture 4
M5 / Basic Excel / Lecture 5
M5 / Basic Excel / Lecture 6
M5 / Basic Excel / Lecture 7
M5 / Basic Excel / Lecture 8
M5 / Basic Excel / Lecture 9
MODULE 05- Intermediate Excel
7 Topics
M5 / Intermediate Excel / Lecture 1
M5 / Intermediate Excel / Lecture 2
M5 / Intermediate Excel / Lecture 3
M5 / Intermediate Excel / Lecture 4
M5 / Intermediate Excel / Lecture 5
M5 / Intermediate Excel / Lecture 6
M5 / Intermediate Excel / Lecture 7
MODULE 05- Moderate Excel
10 Topics
M5 / Moderate Excel / Lecture 1
M5 / Moderate Excel / Lecture 2
M5 / Moderate Excel / Lecture 3
M5 / Moderate Excel / Lecture 4
M5 / Moderate Excel / Lecture 5
M5 / Moderate Excel / Lecture 6
M5 / Moderate Excel / Lecture 7
M5 / Moderate Excel / Lecture 8
M5 / Moderate Excel / Lecture 9
M5 / Moderate Excel / Lecture 10
MODULE 05- Advance Excel
25 Topics
M5 / Advance Excel / Lecture 1
M5 / Advance Excel / Lecture 2
M5 / Advance Excel / Lecture 3
M5 / Advance Excel / Lecture 4
M5 / Advance Excel / Lecture 5
M5 / Advance Excel / Lecture 6
M5 / Advance Excel / Lecture 7
M5 / Advance Excel / Lecture 8
M5 / Advance Excel / Lecture 9
M5 / Advance Excel / Lecture 10
M5 / Advance Excel / Lecture 11
M5 / Advance Excel / Lecture 12
M5 / Advance Excel / Lecture 13
M5 / Advance Excel / Lecture 14
M5 / Advance Excel / Lecture 15
M5 / Advance Excel / Lecture 16
M5 / Advance Excel / Lecture 17
M5 / Advance Excel / Lecture 18
M5 / Advance Excel / Lecture 19
M5 / Advance Excel / Lecture 20
M5 / Advance Excel / Lecture 21
M5 / Advance Excel / Lecture 22
M5 / Advance Excel / Lecture 23
M5 / Advance Excel / Lecture 24
M5 / Advance Excel / Lecture 25
Project- Online Store-Myntra, Ajio
1 Topics
Analysis of the Online Store Annual Report
MODULE 06- TABLEAU | Notes & Study Materials
2 Topics
Tableau Notes and Data Set Pdf
Tableau Curriculum
MODULE 06- TABLEAU
17 Topics
M6 / Tableau / U1 Lec 01
M6 / Tableau / U1 Lec 02
M6 / Tableau / U1 Lec 03
M6 / Tableau / U1 Lec 04
M6 / Tableau / U2 Lec 01
M6 / Tableau / U2 Lec 02
M6 / Tableau / U2 Lec 03
M6 / Tableau / U2 Lec 04
M6 / Tableau / U2 Lec 05
M6 / Tableau / U2 Lec 06
M6 / Tableau / U2 Lec 07
M6 / Tableau / U3 Lec 01
M6 / Tableau / U3 Lec 02
M6 / Tableau / U3 Lec 03
M6 / Tableau / U3 Lec 04
M6 / Tableau / U4 Lec 01
M6 / Tableau / U4 Lec 02
Tableau Capstone Project - 01
1 Topics
Capstone Project-1 [‘London Bike Ride’]
Tableau Capstone Project - 02
1 Topics
Capstone Project-2 [‘FIFA World Cup Dashboard’]

Training Highlights

6 Months Course Duration

6 Months Course Duration

Notes & Study Material

Notes & Study Material

Beginners Friendly

Beginners Friendly

Job Notification

Job Notification

Business Case Study

Business Case Study

Certificate of Training

 Certificate of Training

Industry-Oriented Curriculum

Industry-Oriented Curriculum

Hands on Projects

 Hands on Projects

Placement Updates

 Placement Updates

Course Features

FAQ's

Whom and how should I contact if I face any issues?

In case of any query or confusion, you can write to us at contact@theiscale.com

How long is my enrollment valid?

You will get 180 days of access to this course. However if any candidate request to extend the course duration than maximum of 30 days extension can be provided.

Will I be able to ask doubts?

Yes, you will be able to ask your doubts through email support.

In which mode and medium the courses are available?

The courses we are offering are in the online mode of learning. Courses recording is available in Hinglish.

What certificate will I be given upon course completion?

Post completion of the course, you will be provided with an industry recognized skill certificate of successful course completion.

Who is eligible to enroll in the courses offered by

Freshers, college students of UG, PG & Diploma holders program & Working Professionals are eligible for our courses. For the different courses we have mentioned the eligibility in the course section, you can check the eligibility as per the courses offered.