What you would learn in Data Analysis with Python: NumPy & Pandas Masterclass course?
This hands-on project-based course will teach you how to master two well-known Python tools to analyze data: NumPy and Pandas.
The course will begin by introducing NumPy's basics to introduce arrays and their properties, then practice the standard operations like indexing, cutting filters, sorting, and filtering and look at essential concepts such as broadcasting and vectorization.
We'll then dive into Pandas and concentrate on the fundamental tools and methods used to research how to analyze, analyze, aggregate, and transform data frames and series. Learn how to plot data frames with graphs and charts and manipulate time-series data. Exporting and importing different files and then connecting data frames using standard join methods.
Through the course, you'll take on the data analyst role for Maven Mega Mart, a huge multinational company that operates a retail chain and food stores. Employing the Python abilities you'll acquire in this course, students will work with other members of Maven Mega Mart's team. Maven Mega Mart team to study pricing, product information transactions, and other aspects.
Intro to NumPy & Pandas
Introduces NumPy and Pandas, two essential Python libraries that assist in structuring data into arrays and DataFrames and include built-in functions for data analysis
Introduction to Pandas Series, the Python equivalent to an array of data and provide their fundamental characteristics such as their creation, manipulation, and the most valuable functions to analyze
Intro to DataFrames
Utilize Pandas DataFrames, which is the Python equivalent to Excel, as well as an SQL table. You can save, modify, and analyze data efficiently using the data frames.
Reshape and aggregate data within DataFrames by creating groups of columns, making calculations for aggregation and pivoting and non-pivoting data
Basic Visualization of Data
Learn the fundamentals of data visualization with Pandas and apply this method of a plot to design custom bar charts, line charts, scatterplots, and histograms.
Test your abilities to the test using the latest dataset, and then use your Python abilities to analyze and assess a brand new retailer that could be a possible acquisition potential target, Maven MegaMart. Maven MegaMart
Analyzing Dates and Times
Learn to use the DateTime data type within Pandas to identify dates from date components, group them by dates, and carry out time intelligence calculations such as moving averages
Importing and Exporting Data
Read flat files with data, and perform processing steps at import, then create DataFrames through using SQL tables, and then write data back to its source
Combining Multiple DataFrames by joining fields from related fields to create new columns and then appending fields with the same data to create new rows
Final Course Project
Finish the work on your project by joining a table, doing the time series analysis to improve your workflow, and then writing out your findings
Learn the basics to master the fundamentals of NumPy and Pandas, two of Python's most robust software for data analysis.
Learn to investigate, transform, aggregate, and join NumPy arrays as well as Pandas DataFrames
Alter dates and times to achieve time-series and intelligence analysis
Visualize raw data by using plot techniques and standard chart options, such as bar charts, line chart, scatter plots, as well as histograms
Flat files can be imported and exported, Excel workbooks and SQL tables for databases using Pandas
Develop solid and practical abilities for modern business analytics and intelligence
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