Tag: pandas

DataCamp – Merging DataFrames with pandas

/

From DataCamp: “As a Data Scientist, you’ll often find that the data you need is not in a single file. It may be spread across a number of text files, spreadsheets, or databases. You want to be able to import the data of interest as a collection of DataFrames and figure out how to combine them to answer your central questions. This course is all about the act of combining, or … Continue Reading

DataCamp – Manipulating DataFrames with pandas

/

From DataCamp: “In this course, you’ll learn how to leverage pandas’ extremely powerful data manipulation engine to get the most out of your data. It is important to be able to extract, filter, and transform data from DataFrames in order to drill into the data that really matters. The pandas library has many techniques that make this process efficient and intuitive. You will learn how to tidy, rearrange, and restructure your … Continue Reading

DataCamp – pandas Foundations

/

From DataCamp: “Many real-world data sets include strings, integers, time-stamps and unstructured data. How do you store data like this so that you can manipulate it and easily retrieve important information? The answer is in a pandas DataFrame! In this course, you’ll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames. With pandas, you’ll always be able to convert your data into a form that permits … Continue Reading

Udemy – Data Analysis with Pandas and Python

/

From Udemy: “The most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to refresh their technical knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19+ hours of in-depth tutorials on one of the most powerful data analysis toolkits available today. Lessons include: installing sorting filtering grouping aggregating de-duplicating pivoting munging deleting merging text cleaning visualizing If you’ve spent time in … Continue Reading

DataCamp – Intermediate Python for Data Science

/

From DataCamp: “The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib’s functions and get to know new data structures such as the dictionary and the Pandas DataFrame. After covering key concepts such as boolean logic, control flow and loops in Python, you’re ready to blend together everything you’ve learned to solve a case study using hacker statistics.” This course consists of 5 … Continue Reading

DataQuest – Handling Large Data Sets in Python

/

“Learn how to build data pipelines to work with large datasets.” Consists of one step: Handling Large Data Sets in Python. This step includes: Processing Large Datasets in Pandas Optimizing Dataframe Memory Footprint Processing Dataframes in Chunks Augmenting Pandas with SQLite Guided projects Optimizing Code Performance on Large Datasets CPU Bound Programs I/O Bound Programs Overcoming the Limitations of Threads Quickly Analyzing Data with Parallel Processing Guided project

DataQuest – Intermediate Python and Pandas

/

This course is step 2 of 6 in the DataQuest Data Analyst Path and step 2 of 11 in the DataQuest Data Scientist Path. The curriculum for this step includes the following topics: Getting Started with NumPy Computation with NumPy Introduction to Pandas Data Manipulation with Pandas Working with Missing Data Pandas Internals: Series & Dataframes Exploratory Data Visualization Line Charts Multiple Plots Bar and Scatter Plots Histograms and Box Plots … Continue Reading

Coursera Applied Data Science with Python Specialization

/

From Coursera: The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.” The … Continue Reading

Introduction to Data Science in Python

/

This course is #1 of 5 in the Applied Data Science with Python Specialization from the University of Michigan. From Coursera: “This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas … Continue Reading

Metis Data Science Bootcamp

/

Learn Data Science in 12 weeks with 100% in-person instruction from expert data scientists.