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Python Data Course: Python for Data Analysis & Visualization

Learn how to use Python powerful libraries to manipulate and process data to do data analysis & data visualization.
3.1
3.1/5
(9 reviews)
2,022 students
Created by

8.3

CourseMarks Score®

10.0

Freshness

5.2

Feedback

9.2

Content

Platform: Udemy
Video: 7h 2m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

8.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 2/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

5.2 / 10
We analyzed factors such as the rating (3.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.6 / 10
The course includes 7h 2m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
7 resources.
0 exercise.
0 test.

Table of contents

Description

The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.
Everything about data analysis and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.
One of the best features available in Python for data analysis operations is the Python libraries for data processing and manipulation. You are capable of doing a wide range of jobs with ease. In this course, we’ll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.
What you will learn in this course ?
•Learn Python by doing Examples step by step.
•In this course you will learn how to Install Python 3.
•In this course you will learn how to use python IDLE.
•In this course you will learn how to choose Python IDE to learn coding.
•In this course you will learn how to Install Anaconda for Python coding.
•In this course you will learn how to use Online Jupyter for Python Programming.
•In this course you will learn how to use Python IDLE.
•In this course you will learn how What the difference between  Variables & Operators in Python.
•In this course you will learn Operators Types in Python.
•In this course you will learn Python Data Types.
•In this course you will learn String Functions & entries in Python.
•In this course you will learn how to use Input String Function in Python.
•In this course you will learn Python Data Structures.
•In this course you will learn how to create Lists & lists operations in Python.
•In this course you will learn how to create Dictionaries & Dictionaries operations in Python .
•In this course you will learn how to create Tuples & Tuples operations in Python.
•In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.
•In this course you will learn how and when to use Control Flow and Loops in Python.
•In this course you will learn IF Statement and control flow in Python.
•In this course you will learn how and when to use For Loop in Python.
•In this course you will learn how and when to use While Loop in Python.
•In this course you will learn how to Handle Errors in your Python programs.
•In this course you will learn how and when to use Python Functions.
•In this course you will learn how and when to create functions in Python.
•In this course you will learn how and when to use Lambda Expression in Python.
•In this course you will learn how to create and use to Python Modules.
•Lear how to use Python to open files.
•Learn Data Analysis Process step by step.
•Learn coding in Python Numpy Library Methods in this course.
•Learn how to use Numpy Library Methods & Functions to manipulate data in this course.
•Learn how to use Numpy Library Methods & Functions to process images.
•Learn coding in Python Pandas Library Methods in this course.
•Learn coding in Python Pandas Library Data Analysis in this course.
•Learn coding in Python Pandas Library Data Visualization in this course.

You will learn

✓ What is Python libraries or modules & how to use its methods?
✓ How to use Numpy + pandas in data Analysis And data Science.
✓ How to use Python to manipulate & process data.
✓ Data analysis & data visualization using Python.

Requirements

• Computer and internet.
• No primer programming experience needed for this course.

This course is for

• Are you want to learn more about Python data libraries Methods & Functions?
• Are you want to learn more about Data Analysis using Python libraries?
• Are you want to learn more about Pandas + Numpy?

How much does the Python Data Course: Python for Data Analysis & Visualization course cost? Is it worth it?

The course costs $11.99. And currently there is a 40% discount on the original price of the course, which was $19.99. So you save $8 if you enroll the course now.

Does the Python Data Course: Python for Data Analysis & Visualization course have a money back guarantee or refund policy?

YES, Python Data Course: Python for Data Analysis & Visualization has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python Data Course: Python for Data Analysis & Visualization course, but there is a $8 discount from the original price ($19.99). So the current price is just $11.99.

Who is the instructor? Is Temotec Learning Academy a SCAM or a TRUSTED instructor?

Temotec Learning Academy has created 13 courses that got 2,161 reviews which are generally positive. Temotec Learning Academy has taught 288,350 students and received a 3.8 average review out of 2,161 reviews. Depending on the information available, Temotec Learning Academy is a TRUSTED instructor.
Professional Developer and Data Scientist love teaching.
With 280000+ happy students enrolled in my courses.

In these days Technology & Programming have became  the soul of our life, So learning to code is very important for everyone.

I’m  a programmer & Data Scientist , I have mastered many programming Languages  such as Python, SQL & R , I have also a great experience with tools like Excel, Tableau, Jupyter Notebook,  and R Studio, also Have great passion for Technology Teaching  and sharing  knowledge with community.

Lifelong learning is a form of self-initiated education that is focused on personal development. While there is no standardized definition of lifelong learning, it has generally been taken to refer to the learning that occurs outside of a formal educational institute, such as a school, university or corporate training online courses.

I will update my courses every month to add new sections of your choice to meet your expectations.

So don’t wait and enroll in my courses Now.

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8.3

CourseMarks Score®

10.0

Freshness

5.2

Feedback

9.2

Content

Platform: Udemy
Video: 7h 2m
Language: English
Next start: On Demand

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