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Python Data Science with Pandas: Master 12 Advanced Projects

Work with Pandas, SQL Databases, JSON, Web APIs & more to master your real-world Machine Learning & Finance Projects

4.3

☆☆☆☆☆ 4.3/5

(482 reviews)

6,568 students

Created by

9.5

Classbaze Grade®

10.0

Freshness

8.0

Popularity

9.9

Material

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Platform: Udemy

Price: check current price

Video: 15h 34m

Language: English

Next start: On Demand

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Classbaze Grade®

9.5 / 10

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

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10.0 / 10

This course was last updated on 6/2022.

Course content can become outdated quite quickly.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

8.0 / 10

We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Material

9.9 / 10

Video Score: 10.0 / 10

The course includes 15h 34m 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 5 hours 35 minutes of 540 Data Science courses on Udemy.

Detail Score: 9.9 / 10

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Extra Content Score: 9.9 / 10

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This course contains:

19 articles.

18 resources.

0 exercise.

0 test.

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About the course

Welcome to the first advanced and project-based Pandas Data Science Course!
This Course starts where many other courses end: You can write some Pandas code but you are still struggling with real-world Projects because
•Real-World Data is typically not provided in a single or a few text/excel files -> more advanced Data Importing Techniques are required
•Real-World Data is large, unstructured, nested and unclean -> more advanced Data Manipulation and Data Analysis/Visualization Techniques are required
•many easy-to-use Pandas methods work best with relatively small and clean Datasets -> real-world Datasets require more General Code (incorporating other Libraries/Modules)
No matter if you need excellent Pandas skills for Data Analysis, Machine Learning or Finance purposes, this is the right Course for you to get your skills to Expert Level! Master your real-world Projects!
This Course covers the full Data Workflow A-Z:
•Import (complex and nested) Data from JSON files.
•Import (complex and nested) Data from the Web with Web APIs, JSON and Wrapper Packages.
•Import (complex and nested) Data from SQL Databases.
•Store (complex and nested) Data in JSON files.
•Store (complex and nested) Data in SQL Databases.
•Work with Pandas and SQL Databases in parallel (getting the best of both worlds).
•Efficiently import and merge Data from many text/CSV files.
•Clean large and messy Datasets with more General Code.
•Clean, handle and flatten nested and stringified Data in DataFrames.
•Know how to handle and normalize Unicode strings.
•Merge and Concatenate many Datasets efficiently.
•Scale and Automate data merging.
•Explanatory Data Analysis and Data Presentation with advanced Visualization Tools (advanced Matplotlib & Seaborn).
•Test the Performance Limits of Pandas with advanced Data Aggregations and Grouping.
•Data Preprocessing and Feature Engineering for Machine Learning with simple Pandas code.
•Use your Data 1: Train and test Machine Learning Models on preprocessed Data and analyze the results.
•Use your Data 2: Backtesting and Forward Testing of Investment Strategies (Finance & Investment Stack).
•Use your Data 3: Index Tracking (Finance & Investment Stack).
•Use your Data 4: Present your Data with Python in a nicely looking HTML format (Website Quality).
•and many more…
I am Alexander Hagmann, Finance Professional and Data Scientist (> 7 Years Industry Experience) and best-selling Instructor for Pandas, (Financial) Data Science and Finance with Python. Looking forward to seeing you in this Course!

What can you learn from this course?

✓ Advanced Real-World Data Workflows with Pandas you won´t find in any other Course.
✓ Working with Pandas and SQL-Databases in parallel (getting the best out of two worlds)
✓ Working with APIs, JSON and Pandas to import large Datasets from the Web
✓ Bringing Pandas to its Limits (and beyond…)
✓ Machine Learning Application: Predicting Real Estate Prices
✓ Finance Applications: Backtesting & Forward Testing Investment Strategies + Index Tracking
✓ Feature Engineering, Standardization, Dummy Variables and Sampling with Pandas
✓ Working with large Datasets (millions of rows/columns)
✓ Working with completely messy/unclean Datasets (the standard case in real-world)
✓ Handling stringified and nested JSON Data with Pandas
✓ Loading Data from Databases (SQL) into Pandas and vice versa
✓ Loading JSON Data into Pandas and vice versa
✓ Web-Scraping with Pandas
✓ Cleaning large & messy Datasets (millions of rows/columns)
✓ Working with APIs and Python Wrapper Packages to import large Datasets from the Web
✓ Explanatory Data Analysis with large real-world Datasets
✓ Advanced Visualizations with Matplotlib and Seaborn

What you need to start the course?

• You should be familiar with Python (Standard Library, Numpy, Matplotlib)
• You should have worked with Pandas before (at least you should know the basics)
• A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
• An internet connection capable of streaming HD videos.
• Some high school level math skills would be great (not mandatory, but it helps)

Who is this course is made for?

• Everyone who really want to master large, messy and unclean Datasets.
• Everyone who want to improve skills from “I can write some Pandas Code” to “I can master my real-word Data Projects with Pandas”
• Data Scientists
• Machine Learning Professionals
• Finance & Investment Professionals
• Researchers

Are there coupons or discounts for Python Data Science with Pandas: Master 12 Advanced Projects ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

The average price is $11.5 of 540 Data Science courses. So this course is 30% more expensive than the average Data Science course on Udemy.

Will I be refunded if I'm not satisfied with the Python Data Science with Pandas: Master 12 Advanced Projects course?

YES, Python Data Science with Pandas: Master 12 Advanced Projects 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 Python Data Science with Pandas: Master 12 Advanced Projects course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Alexander Hagmann?

Alexander Hagmann has created 14 courses that got 8,214 reviews which are generally positive. Alexander Hagmann has taught 71,877 students and received a 4.6 average review out of 8,214 reviews. Depending on the information available, we think that Alexander Hagmann is an instructor that you can trust.

Learn everything about

Alexander Hagmann

Data Scientist | Finance Professional | Entrepreneur

Alexander is a Data Scientist and Finance Professional with more than 10 years of experience in the Finance and Investment Industry.
He is also a Bestselling Udemy Instructor for
– Data Analysis/Manipulation with Pandas
– (Financial) Data Science
– Python for Business and Finance
– Algorithmic Trading
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
Alexander´s courses have one thing in common: Content and concepts are practical and real-world proven. The clear focus is on acquiring skills and understanding concepts rather than memorizing things.
Alexander holds a Master´s degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).

Browse all courses by Alexander Hagmann on Classbaze.