The Complete Data Analysis Course 2022 with Python

The Complete Data Analysis Course 2022 with Python, available at $54.99, has an average rating of 4.85, with 32 lectures, based on 12 reviews, and has 51 subscribers.

You will learn about Matplotlib Bokeh Numpy Pandas Database connection Slider Hover Plotly Brown FreqDist Pos_tag Spacy WordCloud NLTK Mapper This course is ideal for individuals who are You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.

Enroll now: The Complete Data Analysis Course 2022 with Python

Summary

Title: The Complete Data Analysis Course 2022 with Python

Price: $54.99

Average Rating: 4.85

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Matplotlib
Bokeh
Numpy
Pandas
Database connection
Slider
Hover
Plotly
Brown
FreqDist
Pos_tag
Spacy
WordCloud
NLTK
Mapper

Who Should Attend

You should take this course if you want to become a Data Scientist or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

Target Audiences

You should take this course if you want to become a Data Scientist or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

This course will give you the resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Analysis!

You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyse data.

You will also get lifetime access to many example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!

This course covers a variety of topics, including

Google Colab
Keras.
Pandas.
Seaborn.
Matplotlib.
scikit-learn
NLTK.
Tokenization.
Spacy.
PoS tagging.
Stemming and lemmatization.
Loading data.
Analyzing data.
Visualizing data.
Bokeh.
Plotly.
Mapper.
WordCloud.
Hover.
Slider.
FreqDist.
Matplotlib

Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There is an assignment for you to learn and practice all the tools and knowledge that you will learn throughout the course.

By the end of this course you will:

– Have an understanding of how to program in Python.

– Know how to create and manipulate arrays using NumPy and Python.

– Know how to use pandas to create and analyze data sets.

– Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

– Have an amazing portfolio of example python data analysis projects!

– Have an understanding of Machine Learning and SciKit Learn!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to make the most out of this course

Lecture 3: Introduction to Data Analyis

Lecture 4: Introduction to Data Science

Chapter 2: Database Connection Using Python

Lecture 1: Introduction to SQL and Implementation

Chapter 3: Data Wrangling with Python

Lecture 1: Introduction to Data Wrangling

Lecture 2: Data Wrangling Implementation Part 1

Lecture 3: Data Wrangling Implementation Part 2

Lecture 4: Data Wrangling Implementation Part 3

Lecture 5: Filling missing values and handling outliers Implementation

Lecture 6: Introduction to Data Frame Connection and Implementation

Lecture 7: Introduction and Implementation of Apply function in Pandas Library

Chapter 4: Data Visualization with Python

Lecture 1: Creating fundamental plots with Pandas and seaborn

Lecture 2: Introduction to bar plot and implemetation

Lecture 3: Advanced bar plot and implementation

Lecture 4: Project 2: Sport

Lecture 5: Advanced Visualization with Python Part 1

Lecture 6: Advanced Visualization with Python Part 2

Lecture 7: Advanced Visualization with Python Part 3

Lecture 8: Advanced Visualization with Python Part 4

Lecture 9: Advanced Visualization with Python Part 5

Lecture 10: Another Practice with Plotly

Chapter 5: Text Analysis With Python

Lecture 1: Introduction

Lecture 2: Text Analysis Implementation Part 1

Lecture 3: Text Analysis Implementation Part 2

Lecture 4: Text Analysis Implementation Part 3

Lecture 5: Text Analysis Implementation Part 4

Lecture 6: Text Analysis Implementation Part 5

Lecture 7: Text Analysis Implementation Part 6

Lecture 8: Text Analysis Implementation Part 7

Lecture 9: Text Analysis Implementation Final Part

Chapter 6: Thank you

Lecture 1: Thank you

Instructors

Hoang Quy La
Electrical Engineer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 2 votes
5 stars: 10 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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