Python Data Science with Pandas: Master 12 Advanced Projects

Python Data Science with Pandas: Master 12 Advanced Projects Course includes 15.5 hrs video content and enrolled by 5.1 K+ students and received a 4.5 average review out of 5. Now, you will get 95%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.

What you’ll learn

  • 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

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).

Who this course is 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

Can I download Python Data Science with Pandas: Master 12 Advanced Projects course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Python Data Science with Pandas: Master 12 Advanced Projects course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
Are there any other coupons available for this course?
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