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Python Data Science with Pandas: Master 12 Advanced Projects

Python Data Science with Pandas: Master 12 Advanced Projects Obtain

Work with Pandas, SQL Databases, JSON, Net APIs & extra to grasp your real-world Machine Studying & Finance Projects

Python Data Science with Pandas Master 12 Advanced Projects

What you’ll study
  • Advanced Actual-World Data Workflows with Pandas you received´t discover in some other Course.
  • Working with Pandas and SQL-Databases in parallel (getting one of the best out of two worlds)
  • Working with APIs, JSON and Pandas to import giant Datasets from the Net
  • Bringing Pandas to its Limits (and past…)
  • Machine Studying Utility: Predicting Actual Property Costs
  • Finance Purposes: Backtesting & Ahead Testing Funding Methods + Index Monitoring
  • Function Engineering, Standardization, Dummy Variables and Sampling with Pandas
  • Working with giant Datasets (tens of millions of rows/columns)
  • Working with utterly messy/unclean Datasets (the usual case in real-world)
  • Dealing with 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
  • Net-Scraping with Pandas
  • Cleansing giant & messy Datasets (tens of millions of rows/columns)
  • Working with APIs and Python Wrapper Packages to import giant Datasets from the Net
  • Explanatory Data Evaluation with giant real-world Datasets
  • Advanced Visualizations with Matplotlib and Seaborn
  • You need to be acquainted with Python (Commonplace Library, Numpy, Matplotlib)
  • You need to have labored with Pandas earlier than (not less than you need to know the fundamentals)
  • A desktop pc (Home windows, Mac, or Linux) able to storing and working Anaconda. The course will stroll you thru putting in the mandatory free software program.
  • An web connection able to streaming HD movies.
  • Some highschool stage math expertise could be nice (not necessary, nevertheless it helps)

Welcome to the primary superior and project-based Pandas Data Science Course!

This Course begins the place many different programs finish: You’ll be able to write some Pandas code however you’re nonetheless struggling with real-world Projects as a result of

  • Actual-World Data is usually not supplied in a single or a couple of textual content/excel recordsdata -> extra superior Data Importing Strategies are required
  • Actual-World Data is giant, unstructured, nested and unclean -> extra superior Data Manipulation and Data Evaluation/Visualization Strategies are required
  • many easy-to-use Pandas strategies work finest with comparatively small and clear Datasets -> real-world Datasets require extra Common Code (incorporating different Libraries/Modules)

Regardless of when you want glorious Pandas expertise for Data Evaluation, Machine Studying or Finance functions, that is the correct Course so that you can get your expertise to Professional Degree! Master your real-world Projects!

This Course covers the total Data Workflow A-Z:

  • Import (advanced and nested) Data from JSON recordsdata.
  • Import (advanced and nested) Data from the Net with Net APIs, JSON and Wrapper Packages.
  • Import (advanced and nested) Data from SQL Databases.
  • Retailer (advanced and nested) Data in JSON recordsdata.
  • Retailer (advanced and nested) Data in SQL Databases.
  • Work with Pandas and SQL Databases in parallel (getting one of the best of each worlds).
  • Effectively import and merge Data from many textual content/CSV recordsdata.
  • Clear giant and messy Datasets with extra Common Code.
  • Clear, deal with and flatten nested and stringified Data in DataFrames.
  • Know tips on how to deal with and normalize Unicode strings.
  • Merge and Concatenate many Datasets effectively.
  • Scale and Automate information merging.
  • Explanatory Data Evaluation and Data Presentation with superior Visualization Instruments (superior Matplotlib & Seaborn).
  • Check the Efficiency Limits of Pandas with superior Data Aggregations and Grouping.
  • Data Preprocessing and Function Engineering for Machine Studying with easy Pandas code.
  • Use your Data 1: Practice and take a look at Machine Studying Fashions on preprocessed Data and analyze the outcomes.
  • Use your Data 2: Backtesting and Ahead Testing of Funding Methods (Finance & Funding Stack).
  • Use your Data 3: Index Monitoring (Finance & Funding Stack).
  • Use your Data 4: Current your Data with Python in a properly wanting HTML format (Web site High quality).
  • and plenty of extra…

I’m Alexander Hagmann, Finance Skilled and Data Scientist (> 7 Years Trade Expertise) and best-selling Teacher for Pandas, (Monetary) Data Science and Finance with Python. Trying ahead to seeing you on this Course!

Who this course is for:
  • Everybody who actually wish to grasp giant, messy and unclean Datasets.
  • Everybody who wish to enhance expertise from “I can write some Pandas Code” to “I can master my real-word Data Projects with Pandas”
  • Data Scientists
  • Machine Studying Professionals
  • Finance & Funding Professionals
  • Researchers
Python Data Science with Pandas: Master 12 Advanced Projects Obtain

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