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Data Science: Operations & Research Training + Internship

Course available for 90 days
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4.0
6 reviews
Enrolled: 5460 students
Duration: 60 Days
Lectures: 43
Video: 45+ Hours
Level: Intermediate







Here’s an internship with a sense of purpose that will prepare you for your future as a Data Scientist. In only 60 Days, learn the tools used by Data Scientists to tackle challenges and complete various life saving tasks for the company’s survival!

Beginner to Expert in 60 Days.

About the program.

Data Science : Research & Operations Training + Internship is a 60 day program in which you will be taught Data Science and will be given projects based on what you’ve learnt. This internship is perfect if you’re interested in becoming a Data Scientist or having an interest into starting or restarting your career in this field. This internship will give you the skills to be a fresher Data Scientist in 60 days. You’ll learn how to collect, store, visualize, process, and use statistics to get valuable insights from data using various tools like Python, R, SQL, MS Excel as well as data visualization tools like Matplotlib and Seaborn.

Training cum Internship ?

In this Training cum Internship program. As we teach and train you, we will parallelly give you projects to do based on what you’ve learnt; the course will count towards the training whereas the projects will count towards the internship. So you get a “Certificate of internship” and a “Certificate of Training” that you took for the internship. The intern learns data science skills while working on fun projects which they can add to there resume and LinkedIn profiles and also take back to show in their university, job or future internships. Interested? Join us as an intern today!

Placement Assistance?

See, Placement Assistance is an alluring term used by E-Learning platforms. They use this to attract you.

Those e-learning platforms will forward your resumes to their partner agencies, who will then call you for an interview – here, the placement assistance gets completed. Now in the interview, they either reject you or give you a 2-4LPA package to work in a far different field from the actual Data Science. What we do then? We teach you everything a data science fresher is expected to know. We make your work on industry-standard Data Science projects. So that you don’t need any kind of assistance whatsoever, you can walk into interviews and get an advantage over the other applicants there. Moreover, a “Certificate of Distinction” is provided to the best performers based on various assessment parameters that you can show to your interviewers as an achievement.

MORE INFORMATION.

 

CF DORI Curriculum - Updated

File size: 2 mB

Orientation & Introduction to Data Science

1
Orientation And Info
7mins
2
LinkedIn Profile Update
1 question
3
Journey Towards Data Science
21mins

Python Programming

1
Introduction to Python
7 mins
2
Anaconda – Installation
10 mins
3
Hello World with Python
21 mins
4
Variables and Data Types in Python
75 mins
5
Project 1 : Student Portfolio
6
Strings and Lists in Python
90 mins
7
Conditional Statements in Python
68 mins
8
Project 2 : Rock Paper Scissor
27 mins
9
Iterations in Python – For and While Loop
78 mins
10
Methods & Functions
84 mins
11
Project 3 : Multiplication Tables
12
Project 4 : Real Calculator
30 mins
13
Lists, Tuples, Dictionaries
60 mins
14
How’s the course so far ?
15
Object Oriented Programming in Python
60 mins
16
Graphical User Interface with Tkinter
54 mins
17
Project 5 – News App with Tkinter : Part 1
36 mins
18
Project 5 : News App with Tkinter : Part 2
44 mins
19
Project 5 – News App with Tkinter : Part 3
38 mins
20
Project 6 : Bulk File Renamer
19 mins
21
Bulk File Renamer Error Resolving
3 mins

Batch Leader Selections

1
Batch Leader Selection – Video Task
2 Days

NumPy and Pandas

1
Computing with NumPy
43 mins
2
Introduction to Pandas
13 mins
3
Dataframes
20 mins
4
Reindexing & Working with Text Data
32 mins
5
Invalid Missing Data and GroupBy
30 mins
6
Merging and Concatenation
16 mins
7
Time Date Functionality & Categorical Data
21 mins
8
Project 7 – Real World Financial Data Analysis
43 mins

R Programming with Statistics and Probability

1
Introduction, Installation and R Operators
42 mins
2
Datatypes in R
46 mins
3
Variables in R
46 mins
4
Control Flow – If Else and Loops
49 mins
5
Decision Making in R
42 mins
6
Project 8 – Simple Calculator with R
04 mins
7
Recursive and Conversion Functions
37 mins
8
Data Structures in R
51 mins
9
Object Oriented Programming – OOPs
47 mins
10
Error Handling in R
47 mins
11
Upcoming Final Exam – For Certificate. More lessons adding soon….
For doubts support . On lesson page in course dashboard, students have a QnA section where mentors will reply to their doubts. Moreover, in the first lesson we have shared the link to a LinkedIn group, where students can interact with each other and also discuss doubts with their mentors.
No boundaries on field of study or age etc. Enthusiasts interested in learning Data Science whether to change career at a later age or to start career at a young age are all welcome. Candidates can join if they have a minimum age 16 and understands English well.
Yes, we start from absolute basics and take you to the advanced level. The training is for beginners and moderate level students. Most of the students are beginners.
We have students and trainers from all around the world, at different time zones. In addition to that we have interns ranging from ages 16 – 55. So making them all sit together at the same point of time is not possible, so even if we have live webinars. They are actually pre-recorded sessions, being streamed differently as per the country’s time. The lectures and video content is freshly prepared, and made available on your dashboard
As soon as you register the Day 1 lessons will unlock.
The following modules have been redesigned :R ProgrammingAdvanced StatisticsData VisualizationWe have covered each module in depth.
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