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Data Analysis & Mining in Python & PySpark (2 Courses in 1)

Learn Data Analysis and Mining, Machine Learning, Deep Learning in Python & PySpark
4.5
☆☆☆☆☆ 4.5/5
(350 reviews)
1,084 students
Created by
Data Science Guide

10.0

Classbaze Grade®

10.0

Freshness

9.9

Popularity

9.6

Material

Detailed Analysis »

Learn how to create Machine Learning algorithms in Python and use them in Data Mining
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Platform: Udemy
Price: check current price
Video: 10h 6m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

10.0 / 10

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

Freshness

10.0 / 10
This course was last updated on 5/2022.

Course content can become outdated quite quickly.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.

Popularity

9.9 / 10
We analyzed factors such as the rating (4.5/5) 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.

Material

9.6 / 10
Video Score: 9.1 / 10
The course includes 10h 6m 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.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Udemy.
Detail Score: 9.8 / 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: 9.9 / 10

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

This course contains:

8 articles.
41 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the course

Course 1: Machine and Deep Learning in Python
If you seek to learn how to create machine learning models and use them in data mining process, this course is for you. You will understand in this course what is data mining process and how to implement machine learning algorithms in data mining. Moreover, you will learn in details how deep learning does work and how to build a deep learning model to solve a business problem. In the beginning of the course, you will understand the basic concepts of data mining and learn about the business fields where data mining is implemented.
After that you will learn how to create machine learning models in Python using several data science libraries developed especially for this purpose. NumPy, Pandas, and Matplotlib are some examples of these models that you will learn how to import and use to create machine learning algorithms in Python. You will learn typing codes in Python from scratch without the need to have a pervious knowledge in coding. You will be familiar with the essential code needed to build machine learning models. This course is designed to provide you with the knowledge you need in a simple and straightforward way to smooth the learning process. You will build your knowledge step by step until you become familiar with the most used Machine Learning algorithms. 
Course 2: Data Analysis in PySpark
Apache Spark is one of the most powerful tool used in big data analysis because:
It’s Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
•It can run real and semi-real time data analysis.
•It can handle large scale of data.
•It can be run using simple code in Python programming language.
You will learn in this course: What is Spark, how does it run, and how data are stored in Spark. You will learn how to configure Python programming environment to run Spark code. You will learn conducting data analysis using real big data. You will learn to import big data files inside Python. You will learn to clean and transform data for analysis. You will learn conducting business analysis using several Spark functions. You will learn to create SQL queries inside PySpark to run data analysis.
Course 3: Statistics for Data Analysis
You will find in this course a simple review for statistics principles needed for data analysis

What can you learn from this course?

✓ Learn everything about Data Mining and its applications
✓ Understand Machine Learning and its connection with Data Mining
✓ Learn all Machine Learning algorithms, their types, and their usage in business
✓ Learn how to implement Machine Learning algorithms in different business scenarios
✓ Learn how to install and use Python programming language to create machine learning algorithms in a simple way
✓ Learn how to import your data sets into Python and make required cleaning before creating the algorithms
✓ Learn how to interpret the results of each algorithms and compare them with each other to choose the optimum one
✓ Learn how to create graphs in Pythons, such as scattered and regression graphs and use them in your analyses
✓ Learn data analysis in PySpark

What you need to start the course?

• Basic knowledge in Statistics and operating systems

Who is this course is made for?

• Anyone who need to use machine learning algorithms in data mining for business implementation.
• Anyone wants to learn Machine Learning in Python.
• Anyone wants to learn data analysis in PySpark.

Are there coupons or discounts for Data Analysis & Mining in Python & PySpark (2 Courses in 1) ? What is the current price?

The course costs $15.99. And currently there is a 20% discount on the original price of the course, which was $19.99. So you save $4 if you enroll the course now.
The average price is $8.1 of 559 Data Analysis courses. So this course is -97% cheaper than the average Data Analysis course on Udemy.

Will I be refunded if I'm not satisfied with the Data Analysis & Mining in Python & PySpark (2 Courses in 1) course?

YES, Data Analysis & Mining in Python & PySpark (2 Courses in 1) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Data Analysis & Mining in Python & PySpark (2 Courses in 1) course, but there is a $4 discount from the original price ($19.99). So the current price is just $15.99.

Who will teach this course? Can I trust Data Science Guide?

Data Science Guide has created 4 courses that got 1,836 reviews which are generally positive. Data Science Guide has taught 5,145 students and received a 4.6 average review out of 1,836 reviews. Depending on the information available, we think that Data Science Guide is an instructor that you can trust.

Learn everything about

Data Science Guide

Data Scientist & SQL Developer
My name is Abraham Joudah
I have worked in IT and Data Science for more than 15 years. After completed my bachelor’s in computer science, I worked as Database Administrator in one of the engineering companies. I have obtained several certificates from Microsoft like MCSE, MCDBA and MCSA. After several years of working in IT, I started focusing on Data Science field and learning SQL in depth to enhance my business data analysis skills. I also worked as Data Analyst in several companies. Over several years of working in this field I mastered several analytical tools, such as: R, SAS, SQL, Tableau, and Excel. As I enjoy working at data science field I pursued my study in this major and obtained my Master’s degree in Business Analytics from the University of North Texas.
I love teaching Data Science, So I decided to create several courses in this field to share my knowledge with others. I tried to be more practical in my classes rather than repeating the same materials and curriculums in this field. I used materials based on real business scenarios to provide practical knowledge for students. I focused on examples from real business. In other words, I created shortcuts for learners to gain practical experience while studying my courses.
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Data Science Guide's full profile and courses »
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10.0

Classbaze Grade®

10.0

Freshness

9.9

Popularity

9.6

Material

Detailed Analysis »

Learn how to create Machine Learning algorithms in Python and use them in Data Mining
Go to course »
Platform: Udemy
Price: check current price
Video: 10h 6m
Language: English
Next start: On Demand

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