This Diploma Program in Python has been developed by industry experts to help you learn the basics and advance term of Python programming for data science. It has been designed for fresh graduates and working professionals looking to build their career in Data Science.
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Python Programming for Data Science
ICT Course
Duration: 3 Weeks
Donation - Rs. 6000/-
COURSE DESCRIPTION (Course Type - Diploma)[Note: The program comes in two formats: weekday format for fresh graduates and weekend format for working professionals.]
COURSE LEARNING
Upon completion of this course, you will be able to:
MODULE 1 -
PYTHON INTRODUCTION
Introduction to Python | Variables | Functions |
Python Operators | Python Flow Controls |
Conditional Statements | Loops
MODULE 2 – ADVANCE
PYTHON FOR DATA SCIENCE
Python Collection Objects: Strings, List, Tuple and Dictionary | List Comprehension | User defined Functions | Function Arguments | Lamda Functions
MODULE 3 – PYTHON
FOR DATA ANALYSIS
Introduction to Numpy | NumPy Array | Creating
NumPy Array | Array Indexing | Slicing Arrays | Array Operation | Iteration
through Arrays
Introduction to Pandas | Pandas Series | Creating
Pandas Series | Accessing Series Elements |
Filtering a Series | Arithmetic Operations | Series
Ranking and Sorting | Checking Null Values |
Concatenate a Series
Pandas Dataframe - Introduction | Dataframe
Creation | Reading Data from Various Files |
Understanding Data | Accessing Dataframe - elements
using Indexing |Dataframe Sorting |
Ranking in Dataframe | Dataframe Concatenation |
Dataframe Joins | Dataframe Merge |
Reshaping Dataframe | Pivot Tables | Cross Tables |
Dataframe Operations |Checking Duplicates|
Dropping Rows and Columns | Replacing Values |
Grouping Dataframe |Missing Value Analysis
& Treatment
MODULE 4 – DATA
VISUALIZATION
Visualization using Matplotlib | Plot Styles &
Settings | Line Plot | Multiline Plot | Matplotlib
Subplots | Histogram | Boxplot | Pie Chart | Scatter Plot
Course Project
· DATA ANALYSIS AND VISUALIZATION
Course Duration and Learning pattern
Duration of Certificate – 3 Week
Classes’ distribution – 50% Theory Classes and 50% Implementation
Key Highlights
Assignments Students will receive timely assignment related with course topics.
Attendance
Policy 85%
Instructor
Feedback One can directly report about the feedback of instructor.
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