Python 101 – For Data Analysis
Python 101 – For Data Analysis, available at Free, has an average rating of 4.2, with 7 lectures, based on 147 reviews, and has 5346 subscribers.
You will learn about Data Exploration & Manipulation using Python Data Relationships Data Types Functions Slicing Create an Interactive Bill Payment System – Project This course is ideal for individuals who are Anyone who wants to learn Python from the beginning to becoming highly proficient. or Looking into a career in any data related field – Data Scientist, Data Analyst, Business Analyst, Database Administration, BI Analyst, Artificial Intelligence e.t.c. It is particularly useful for Anyone who wants to learn Python from the beginning to becoming highly proficient. or Looking into a career in any data related field – Data Scientist, Data Analyst, Business Analyst, Database Administration, BI Analyst, Artificial Intelligence e.t.c.
Enroll now: Python 101 – For Data Analysis
Summary
Title: Python 101 – For Data Analysis
Price: Free
Average Rating: 4.2
Number of Lectures: 7
Number of Published Lectures: 7
Number of Curriculum Items: 7
Number of Published Curriculum Objects: 7
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Data Exploration & Manipulation using Python
- Data Relationships
- Data Types
- Functions
- Slicing
- Create an Interactive Bill Payment System – Project
Who Should Attend
- Anyone who wants to learn Python from the beginning to becoming highly proficient.
- Looking into a career in any data related field – Data Scientist, Data Analyst, Business Analyst, Database Administration, BI Analyst, Artificial Intelligence e.t.c.
Target Audiences
- Anyone who wants to learn Python from the beginning to becoming highly proficient.
- Looking into a career in any data related field – Data Scientist, Data Analyst, Business Analyst, Database Administration, BI Analyst, Artificial Intelligence e.t.c.
Python is the fastest growing Data Analytics Programming Languages. This course provides you with foundational knowledge of Python and introduces you to analyzing data using Python.
Knowing Python is highly important if you intend working with data and the demand for professionals with Python skills is ever growing.
You will learn Python in a practical way using Jupyter notebook.
You will work on a guided project that you can share with family and friends using all the topics covered in this course
This course is hands-on with practice tasks which allows you get comfortable and familiar with coding in Python.
Content of This Course Includes:
Python as a Programming Language, Data Types, Variables, Operators, Numbers in Python, String Data Type, String Methods, Slicing, Functions, Casting Variables.
You will also learn about what you need to get into a data related career.
Course Requirement or Prerequisites
This course does not require any prior knowledge or specific academic background. The only requirement is having a laptop or desktop computer. All applications necessary for learning the course would be downloaded free from the internet.
Who is this course for?
Anyone looking to work with data personally or professionally.
Looking into a career as Data Analyst, Data Scientist, Business Analyst, Report Analyst, ETL Specialist, BI Consultant, Data Engineer or any Data related field.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Requirement
Lecture 3: Download & Install Applications
Lecture 4: Install Python on Windows
Lecture 5: Install Python on MacBook
Lecture 6: Python – Data Analysis
Lecture 7: Using Jupyter Notebook
Instructors
-
Alexander Shafe
Information Security Consultant
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 7 votes
- 3 stars: 26 votes
- 4 stars: 39 votes
- 5 stars: 69 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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