About Internship Program
● Python and R are very popular programming languages today.
● They are widely used in various business sectors, such as programming, web development, machine learning, and data science.
● This Internship Program has been designed for beginners to help them understand the basic to advanced concepts of Python and R Programming Language.
● After completing this tutorial, you will find yourself at a great level of expertise in Python and R programming, from where you can take yourself to the next levels to become a world-class Software Engineer or Data Scientist.
Advantages
● Python language provides several job opportunities and promises high growth with huge salary prospects.
● Python's large open-source community means Pythonists can enjoy strong peer support and help documentation.
● Python's simple syntax, combined with its large set of libraries, helps us do more with fewer lines of code. This saves a lot of development time and is one of the reasons for Python's popularity.
Who Should Attend
Beneficial for - Students of UG/PG Programs & Research Scholars of Information Technology and Computer Science,
etc.
Program Details
- Duration: 45 days
- Date: 23rd May to 6th July 2023
- Monday to Saturday
- Time: 10:00 am to 4:00 pm
- Venue: Kalinga University
- Program Fee: 10 ,000/-
Program Schedule
| Module-I Python Basics |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | What is Python? Basic Syntax | |
| 02 | Variable Types | |
| 03 | Basic Operators | 5 days |
| 04 | Decision Making | |
| 05 | Loops |
| Module-II Python Datatypes |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Numbers | |
| 02 | Strings | |
| 03 | Lists | 5 days |
| 04 | Tuples | |
| 05 | Dictionary |
| Module-III Python Functions |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Date & Time | |
| 02 | Functions | |
| 03 | Modules | 5 days |
| 04 | Files I/O | |
| 05 | Exceptions |
| Module-IV NumPy |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Introduction | |
| 02 | Arrays | |
| 03 | Array slicing | 5 days |
| 04 | Array reshaping | |
| 05 | Array iteration |
| Module-V Pandas |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Series | |
| 02 | Data Frames | |
| 03 | Read CSV | 5 days |
| 04 | Read JSON | |
| 05 | Analyzing Data |
| Module-VI R Programming |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Fundamentals of R | |
| 02 | File operations in R | |
| 03 | Importing data | 5 days |
| 04 | Data types | |
| 05 | Built-in functions in R like: seq(), cbind(), rbind(), merge() |
| Module-VIIData Structure in R | ||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Vectors | |
| 02 | Lists, Scalars | |
| 03 | Data Frames | 5 days |
| 04 | Matrices, Arrays | |
| 05 | Factors |
| Module-VIII Data Visualization |
||
|---|---|---|
| S.No. | Topics | Duration |
| 01 | Using graphical functions in R | |
| 02 | Popular Data Visualization tools | |
| 03 | Line Plots, Bar Plots | |
| 04 | Pie chart | |
| 05 | Tableplot | |
| 06 | Histogram | 10 days |
| 07 | Plotting and colouring in R | |
| 08 | grep(), sub(), summarize() | |
| 09 | Data Cleaning | |
| 10 | Case study on related topics |
Resource Persons
- Mr. Omprakash Dewangan
HoD Incharge,
Dept. of Computer Science & Faculty of Information Technology
- Ms. Taruna Chopra
Assistant Professor,
Faculty of Information Technology
