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Python for data analysis

About Course
Are you new to Python or need a refresher? Then this course will help you get all the fundamentals of Python, IDEs, Libraries, data structures and other useful concepts. By the end of the course you would be able to work with data through you Python installation, including data wrangling, cleaning, processing, working with important libraries like pandas, numpy and much more. Learning python would definitely add to your datascience skills, giving you that extra visibility for the hiring managers if you are a job seeker and also enhance your team visibility if you are a working professional.
What I will learn?
- how to install python and various IDEs where you can code
- how to import data from various file formats like csv and excel
- data wrangling and processing
Course Curriculum
Get going with Python
In this section we will learn what is programming, python installation using anaconda and various IDEs where you can code in Python.
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09:04
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Python Installation and IDEs
06:33 -
Using Spyder IDE from Anconda Installation
06:02 -
Guest Post
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Quiz-Get Going With Python
Data types used in Python
1. Integers
2. Float
3. Complex numbers
4. Boolean
5. Strings
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Data Types
07:02 -
08:36
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Strings – Part 2
09:42 -
Quiz-Data Types
Operators in Python
Operators are used to perform various operations on different variables or values. This lesson talks about all those operators along with their types.
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Arithmetic Operator
04:31 -
Assignment operators
03:53 -
Comparison operators
02:54 -
Logical operators
04:51 -
Identity operators
03:05 -
Membership operators
03:27 -
Quiz-Operators
Data structures used in Python
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List
15:03 -
Quiz – Python Lists
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Tuples
08:33 -
Dictionaries
15:29 -
Sets
03:27 -
List and Dictionary Comprehension
00:00
Conditions and Loops
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If Else conditional statement
19:33 -
Loops
23:39 -
Quiz: Loops and Conditional Statements
Functions
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How to write, call and other basics of functions (article)
00:00 -
Creating functions in python
00:00 -
Quiz- Functions
Pandas Library
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Introduction to pandas library (article)
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Basics of Pandas, Series and Dataframes
11:52 -
Import csv file with pandas read_csv()
16:26 -
Dataframes (article)
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Indexing and Selection (article)
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Pandas DataFrame Concatenate
09:24 -
Pandas DataFrame Join
14:45 -
Pandas DataFrame Merge
05:56 -
Working with DataFrames
13:32 -
Quiz-Pandas Library and DataFrames
Exceptional Handling
Errors and bugs are part and parcel of any programming language. So we need to learn a way to handle them and exceptional handling is one such tool.
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Exceptional Handling- Try, Except, Raise
00:00 -
Quiz-Exception Handling
Student Ratings & Reviews
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₹2,999
₹5,000
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LevelIntermediate
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Total Enrolled24
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Last UpdatedApril 11, 2023
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CertificateCertificate of completion
Hi, Welcome back!
A course by

Manvirender
Founder at Klaymatrix Data Labs
Material Includes
- On-demand video
- Articles on relevant topics
- Downloadable resources
- One year access
- Certificate of Completion
Requirements
- No pre-requisites.
Tags
Target Audience
- Anybody can enroll for this course, no coding background required
- People from technical as well as non-technical background can enroll for this course
Get Certified
One successful completion of the course you can easily download your certificate with authentic ID and same would also be available under your profile page.
