Full Stack Data Science Program

The iScale's Full Stack Data Science Program is an Job-Oriented course designed to equip aspiring data scientists with the latest and most wanted data skills.

Actual Price ₹ 36999 , Offer Price ₹ 34999

Course Roadmap

Course Details
2 Topics
Curriculum Python
Curriculum SQL
M 1 : Python Basics Unit 01 - 06
18 Topics
1st - Introduction to Python
2nd -Variables & operators | Part 1
3rd -Variables & operators | Part 2
Unit 2 Assignment Explanation Video
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
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
M 1 : Python Foundation Unit 07- 11
19 Topics
20th - List in Python | Part 3
14th - Strings in Python | Part 1
15th - Strings in Python | Part 2
16th - Strings in Python | Part 3
17th - Strings in Python | Part 4
18th - List in Python | Part 1
19th - List in Python | Part 2
Unit 7 Assignment Explanation Video
Unit 8 Assignment Explanation Video
21st - Tuples in Python | Part 1
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
M 1 : Python Advanced Unit 12 - 14
24 Topics
M1 / Unit 12 / Lecture 2
M1 / Unit 12 / Lecture 1
M1 / Unit 12 / Lecture 3
M 1 / Unit 12 / Lecture 4
M 1 / Unit 12 / Lecture 5
M 1 / Unit 12 / Lecture 6
M 1 / Unit 12 / Lecture 7
M 1 / Unit 12 / Lecture 8
M 1 / Unit 12 / Lecture 9
M 1 / Unit 12 / Lecture 10
M 1 / Unit 12 / Lecture 11
M 1 / Unit 12 / Lecture 12
M 1 / Unit 12 / Lecture 13
M 1 / Unit 13 / Lecture 1
M 1 / Unit 13 / Lecture 2
M 1 / Unit 13 / Lecture 3
M 1 / Unit 13 / Lecture 4
M 1 / Unit 13 / Lecture 5
M 1 / Unit 13 / Lecture 6
M 1 / Unit 14 / Lecture 1
M 1 / Unit 14 / Lecture 2
M 1 / Unit 14 / Lecture 3
M 1 / Unit 14 / Lecture 4
M 1 / Unit 14 / Lecture 5
MODULE 2 : Python Libraries Level 1
7 Topics
Numpy Library | Part 1
Numpy Library | Part 2
Numpy Library | Part 3
Numpy Library | Part 4
Numpy Library | Part 5
Numpy Library | Part 6
Numpy Library | Part 7
MODULE 2 : Python Libraries Level 2
6 Topics
Pandas Library | Part 1
Pandas Library | Part 2
Pandas Library | Part 3
Pandas Library | Part 4
Pandas Titanic Data Set
Pandas Taxonomy Dataset
MODULE 2 : Python Libraries Level 3
6 Topics
Matplotlib Library | Part 1
Matplotlib Library | Part 2
Matplotlib Library | Part 3
Matplotlib Library | Part 4
Matplotlib Library | Part 5
Matplotlib Library | Part 6
MODULE 2 : Python Libraries Level 4
4 Topics
Seaborn Library | Part 1
Seaborn Library | Part 2
Seaborn Library | Part 3
Seaborn Library | Part 4
Module 3 : Statistics Unit 01 - 03
8 Topics
Statistics Unit 1
Statistics Unit 2 Part 1
Statistics Unit 2 Part 2
Statistics Unit 2 Part 3
Statistics Unit 2 Part 4
Statistics Unit 3 Part 1
Statistics Unit 3 Part 2
Statistics Unit 3 Part 3
Module 3 : Statistics Unit 04 - 06
6 Topics
Statistics Unit 4 Part 1
Statistics Unit 4 Part 2
Statistics Unit 4 Part 3
Statistics Unit 5 Part 1
Statistics Unit 5 Part 2
Statistics Unit 6
Module 3 Statistics Unit 07 - 09
3 Topics
Statistics Unit 7
Statistics Unit 8
Statistics Unit 9
Module 4 : Feature Engineering
6 Topics
Feature Engineering Lec 1
Feature Engineering Lec 2
Feature Engineering Lec 3
Feature Engineering Lec 4
Feature Engineering Lec 5
Feature Engineering Lec 6
Modue 6 : Machine Learning Part 1 : Regression
6 Topics
SML Lec 1
SML Lec 2
SML Lec 3
SML Lec 4
SML Lec 5
SML Lec 6
Machine Learning Part 1 : Project
3 Topics
SML Project Part- 1
SML Project Part- 2
SML Project Part- 3
MODULE 11 : SQL | Notes & Study Material
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 Notes
Unit 6 SQL Notes
Unit 7 SQL Notes
Unit 8 SQL Notes
Unit 9 SQL Notes
Unit 10 SQL Notes
Unit 10 SQL Data Set
Unit 10 SQL Operator
Unit 11 SQL Notes
Unit 12 SQL Notes
Unit 13 SQL Notes
Unit 14 SQL Notes
Unit 15 SQL Notes
Unit 15 SQL Data Set
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
SQL : Unit 01 - 04
15 Topics
M 11 / Unit 01 / Lecture 1
M 11 / Unit 01 / Lecture 2
M 11 / Unit 01 / Lecture 3
M 11 / Unit 01 / Lecture 4
M 11 / Unit 02 / Lecture 1
M 11 / Unit 02 / Lecture 2
M 11 / Unit 02 / Lecture 3
M 11 / Unit 03 / Lecture 1
M 11 / Unit 03 / Lecture 2
M 11 / Unit 03 / Lecture 3
M 11 / Unit 03 / Lecture 4
M 11 / Unit 04 / Lecture 1
M 11 / Unit 04 / Lecture 2
M 11 / Unit 04 / Lecture 3
M 11 / Unit 04 / Lecture 4
SQL : Unit 05 - 08
12 Topics
M 11 / Unit 05 / Lecture 1
M 11 / Unit 05 / Lecture 2
M 11 / Unit 05 / Lecture 3
M 11 / Unit 06 / Lecture 1
M 11 / Unit 06 / Lecture 2
M 11 / Unit 06 / Lecture 3
M 11 / Unit 07 / Lecture 1
M 11 / Unit 07 / Lecture 2
M 11 / Unit 07 / Lecture 3
M 11 / Unit 08 / Lecture 1
M 11 / Unit 08 / Lecture 2
M 11 / Unit 08 / Lecture 3
SQL : Unit 09 - 14
13 Topics
M 11 / Unit 09 / Lecture 1
M 11 / Unit 09 / Lecture 2
M 11 / Unit 09 / Lecture 3
M 11 / Unit 10 / Lecture 1
M 11 / Unit 10 / Lecture 2
M 11 / Unit 10 / Lecture 3
M 11 / Unit 10 / Lecture 4
M 11 / Unit 11 / Lecture 1
M 11 / Unit 11 / Lecture 2
M 11 / Unit 12 / Lecture 1
M 11 / Unit 12 / Lecture 2
M 11 / Unit 13
M 11 / Unit 14
SQL : Unit 15 - 18
7 Topics
M 11 / Unit 15
M 11 / Unit 16 / Lecture 1
M 11 / Unit 16 / Lecture 2
M 11 / Unit 17 / Lecture 1
M 11 / Unit 17 / Lecture 2
M 11 / Unit 18 / Lecture 1
M 11 / Unit 18 / Lecture 2
Power BI : Unit 01 - 07
9 Topics
M 12 / Unit 01 / Lecture 1
M 12 / Unit 01 / Lecture 2
M 12 / Unit 01 / Lecture 3
M 12 / Unit 02
M 12 / Unit 03
M 12 / Unit 04
M 12 / Unit 05
M 12 / Unit 06
M 12 / Unit 07
Power BI : Unit 08 - 12
4 Topics
M 12 / Unit 08
M 12 / Unit 09
M 12 / Unit 10
M 12 / Unit 11 & 12
Power BI : Project 1
1 Topics
VIRAT KOHLI T20 PERFORMANCE
Power BI : Project 2
2 Topics
Netflix Stock Prediction
Netflix Project Codes
MODULE 13 : Advance Excel | Notes & Study Material
8 Topics
Excel Premium Syllabus
Microsoft Excel 2019 - Book
Excel Shortcut by Nishant Sir
Unit 1 Excel Data Set
Unit 2 Excel Data Set
Unit 4 Excel Data Set
Unit 3 Excel Data Set
Project Data Set- Analysis The Online Store Annual Report
Basic Excel
9 Topics
Basic Excel Lecture 1
Basic Excel Lecture 2
Basic Excel Lecture 3
Basic Excel Lecture 4
Basic Excel Lecture 5
Basic Excel Lecture 6
Basic Excel Lecture 7
Basic Excel Lecture 8
Basic Excel Lecture 9
Intermediate Excel
7 Topics
Intermediate Excel Lecture 1
Intermediate Excel Lecture 2
Intermediate Excel Lecture 3
Intermediate Excel Lecture 4
Intermediate Excel Lecture 5
Intermediate Excel Lecture 6
Intermediate Excel Lecture 7
Moderate Excel
10 Topics
Moderate Excel Lecture 1
Moderate Excel Lecture 2
Moderate Excel Lecture 3
Moderate Excel Lecture 4
Moderate Excel Lecture 5
Moderate Excel Lecture 6
Moderate Excel Lecture 7
Moderate Excel Lecture 8
Moderate Excel Lecture 9
Moderate Excel Lecture 10
Advance Excel
25 Topics
Advance Excel Lecture 1
Advance Excel Lecture 2
Advance Excel Lecture 3
Advance Excel Lecture 4
Advance Excel Lecture 5
Advance Excel Lecture 6
Advance Excel Lecture 7
Advance Excel Lecture 8
Advance Excel Lecture 9
Advance Excel Lecture 10
Advance Excel Lecture 11
Advance Excel Lecture 12
Advance Excel Lecture 13
Advance Excel Lecture 14
Advance Excel Lecture 15
Advance Excel Lecture 16
Advance Excel Lecture 17
Advance Excel Lecture 18
Advance Excel Lecture 19
Advance Excel Lecture 20
Advance Excel Lecture 21
Advance Excel Lecture 22
Advance Excel Lecture 23
Advance Excel Lecture 24
Advance Excel Lecture 25
Project- Analysis the Online Store Annual Report
1 Topics
Analysis the Online Store Annual Report
MODULE 14 : Tableau | Notes & Study Material
2 Topics
Tableau Curriculum
Tableau Notes and Data Set
Tableau : Unit 01
4 Topics
M14 / Tableau / U1 Lec 01
M14 / Tableau / U1 Lec 02
M14 / Tableau / U1 Lec 03
M14 / Tableau / U1 Lec 04
Tableau : Unit 02
7 Topics
M14 / Tableau / U2 Lec 01
M14 / Tableau / U2 Lec 02
M14 / Tableau / U2 Lec 03
M14 / Tableau / U2 Lec 04
M14 / Tableau / U2 Lec 05
M14 / Tableau / U2 Lec 06
M14 / Tableau / U2 Lec 07
Tableau : Unit 03
4 Topics
M14 / Tableau / U3 Lec 01
M14 / Tableau / U3 Lec 02
M14 / Tableau / U3 Lec 03
M14 / Tableau / U3 Lec 04
Tableau : Unit 04
2 Topics
M14 / Tableau / U4 Lec 01
M14 / 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

Course Duration

12 Month LMS Software Access

Industry-Oriented Curriculum

By Industry Professionals

Live & Scheduled Classes

According to features list

Placement Updates

Through exclusive job potal

Business Case Study

To build practical industry skills

Certificate of Training

for course completion

Doubt Assistance

LIVE Classes according to features

Soft Skills Guidance

Essentials for Interviews

LMS Access

According to feature list

Hands-on Projects

Real world Industry Projects

Course Features

Resume Building

Craft a winning resume highlighting your skills and experience, opening doors to top job opportunities in data analytics.

Exclusive Job Portal

Access unique job opportunities with organizations seeking skilled data analysts, offering potential salary hikes and career growth.

Mock Interviews

Practice and polish your interview skills, boosting confidence and readiness to ace job interviews in the competitive data analytics industry.

LinkedIn Profile Building

Create a professional online presence, attracting recruiters and enhancing your visibility for lucrative job offers in data analytics.

Portfolio

Showcase Your Projects And Skills Via Portfolio Which Will Make You Stand Out To Potential Employers Seeking Practical Expertise.

FAQ's

Do I Need To Pay Extra For The Certificate?

No, You Don’t Have To Pay Any Extra Cost For The Certificate. You Have To Enroll In The Course And Complete It Properly, After The Course Completion You Will Get The Certificate.

In Which Mode And Medium The Courses Are Available?

The Courses We Are Offering Are In The Online Mode Of Learning. Courses Recording Along With Live Classes Will Be On Bilingual, English And Hindi. Language Is Not A Barrier In Learning The Curriculum.

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.

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

Will I Be Able To Ask Doubts?

Yes, You Will Be Able To Ask Your Doubts From The Mentors. A Doubt Resolution Will Be Provided To You In The Doubt Session

Will I Get The Personalized Experience Of Learning?

Yes, According To The Course You Will Opt You Will Get The Personalized Experience Of Learning. Our Batch Size Is Limited So That You Can Get The Personalized Experience Of Learning From The Industry Experts.