Analytics & Data Science Computer Science / IT

CF DSC: Revisit

Last Update September 27, 2025

7 already enrolled

About This Course

This is only for those who have previously joined the Data Science Training and Internship Program.
Everything in this program is similar to the original version, only the time and schedule boundations are removed.

Learning Objectives

After the completion of this course, you can confidently walk into data science interviews with your technical and practical skills and also get an additional advantage over the other applicants due to the 14 hands-on projects you did while pursuing the internship.

Material Includes

50+ hrs Video Content
14 Hands-on Projects
12+ International Trainers
Certificate of Internship
Certificate of Training
Placement Preparation

Requirements

No specific eligibility or requirements criteria, basic 10th-level knowledge is expected.
A Laptop/PC is optional, not compulsory.
We teach you to use online coding platforms, where you don't need a laptop/PC to code.

Target Audience

Designed for all levels as the training starts from beginner level and goes upto mastery.

Curriculum

105 Lessons54h 33m

Orientation & Introduction to Data Science (Revisit)

Orientation And Info (Revisit)00:7:16

Update your LinkedIn Profile (Revisit)

LinkedIn Profile Update (Revisit)

Journey Towards Data Science (Revisit)00:21:45

Python Programming (Revisit)

NumPy and Pandas (Revisit)

R Programming for Statistics & Data Science (Revisit)

Advanced Statistics and Probability with R (Revisit)

A Precursory Glance into the World of Machine Learning (Revisit)

Machine Learning Essentials (Revisit)

Data Visualization with Python and R (Revisit)

SQL for Data Science (Revisit)

Advanced Microsoft Excel (Revisit)

Final Steps (Revisit)

Earn a recognized certificate to showcase your expertise, boost your resume, and stand out to employers.

Your Instructors

DoubtBin Team

4.0/5

5 Courses

1 Review

133 Students

Free

Level

All Levels

Duration 54.6 hours

Lectures

105 lectures

Subject

Analytics & Data Science Computer Science / IT

Language

English

Material Includes

50+ hrs Video Content
14 Hands-on Projects
12+ International Trainers
Certificate of Internship
Certificate of Training
Placement Preparation

CF DSC: Revisit

About This Course

Tags

Learning Objectives

Material Includes

Requirements

Target Audience

Curriculum

Orientation & Introduction to Data Science (Revisit)

Orientation And Info (Revisit)00:7:16

Update your LinkedIn Profile (Revisit)

LinkedIn Profile Update (Revisit)

Journey Towards Data Science (Revisit)00:21:45

Python Programming (Revisit)

Introduction to Python (Revisit)00:7:26

Anaconda – Installation (Revisit)00:10:19

Hello World with Python (Revisit)00:21:00

Variables and Data Types in Python (Revisit)01:15:32

Project 1 – Student Portfolio (Revisit)

Strings and Lists in Python (Revisit)01:29:56

Conditional Statements in Python (Revisit)01:08:23

Project 2 – Rock Paper Scissor (Revisit)00:27:49

Iterations in Python – For and While Loop (Revisit)01:18:29

Methods & Functions (Revisit)01:24:38

Project 3 – Multiplication Tables (Revisit)

Project 4 – Real Calculator (Revisit)00:30:35

Lists, Tuples, Dictionaries & Sets (Revisit)01:00:52

How’s the course going? (Revisit)

Object Oriented Programming in Python (Revisit)01:00:22

Graphical User Interface with Tkinter (Revisit)00:58:38

Project 5 – News App with Tkinter : Part 1 (Revisit)00:36:50

Project 5 – News App with Tkinter : Part 2 (Revisit)00:44:21

Project 5 – News App with Tkinter : Part 3 (Revisit)00:38:13

Project 6 – Bulk File Renamer (Revisit)00:19:39

Bulk File Renamer – Directory / File Error (Revisit)00:03:05

NumPy and Pandas (Revisit)

Computing with NumPy (Revisit)00:42:51

Introduction to Pandas (Revisit)00:13:27

Dataframes (Revisit)00:19:56

Reindexing & Working with Text Data (Revisit)00:32:00

Invalid Missing Data and GroupBy (Revisit)00:30:39

Merging and Concatenation (Revisit)00:16:26

Time Date Functionality & Categorical Data (Revisit)00:21:29

Project 7 – Real World Financial Data Analysis (Revisit)00:43:20

R Programming for Statistics & Data Science (Revisit)

Introduction, Installation and R Operators (Revisit)00:41:53

Datatypes in R (Revisit)00:46:31

Variables in R (Revisit)00:46:26

Control Flow – If Else and Loops (Revisit)00:49:20

Decision Making in R (Revisit)00:42:14

Project 8 – Simple Calculator with R (Revisit)00:03:44

Recursive and Conversion Functions (Revisit)00:37:16

Data Structures in R (Revisit)00:51:04

Object Oriented Programming – OOPs (Revisit)00:47:43

Error Handling in R (Revisit)00:47:49

Introduction to File Handling (Revisit)00:34:33

File Handling – Continued (Revisit)00:38:22

Data Interfaces (Revisit)00:46:47

Advanced Statistics and Probability with R (Revisit)

Statistics and Data (Revisit)00:07:54

Head First Statistics – Book by O’Reilly (Revisit)

Measures of Central Tendency (Revisit)00:18:27

Measures of Dispersion (Revisit)00:15:50

Measure of Relationship Between Variables (Revisit)00:11:09

MAE, MSE, RMSE and R-Squared (Revisit)00:10:19

Important Commands for Descriptive Stats (Revisit)00:22:40

Inferential Statistics & Hypothesis Testing (Revisit)00:18:48

Bootstrapping (Revisit)00:11:02

ANOVA (Revisit)00:14:53

Normal Distribution (Revisit)00:10:50

Binomial Distribution (Revisit)00:07:53

Basic Probability (Revisit)00:04:37

Skewness & Kurtosis (Revisit)00:10:25

Chi-Square Test (Revisit)00:06:06

Regression (Revisit)00:17:14

Survival Analysis (Revisit)00:12:17

A Precursory Glance into the World of Machine Learning (Revisit)

Uses of Machine Learning (Revisit)00:31:39

Linear Regression (Copy 1)00:38:53

Logistic Regression (Copy 1)1:5:21