Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Basic $TSLA Financial Data Handling in Pandas

Go to class Write review

Overview

This course introduces the fundamental concepts of data handling using Pandas in Python. Designed for beginners, it covers the basics of loading data, performing simple data manipulations, and basic visualizations. Through working with the Tesla stock dataset, you will gain the foundational skills needed to manipulate and visualize financial time series data effectively.

Syllabus

Unit 1: Loading Data with Pandas

Display the Last Few Rows of the DataFrame
Debug and Fix the Code
Loading and Creating DataFrame for TSLA Dataset
Display the Tesla DataSet as a DataFrame
Load and Display Tesla Stock Data in Pandas

Unit 2: Basic Data Inspection in Pandas

Fix the Dataset Inspection Code
Complete the DataFrame Inspection
Inspecting Tesla Stock Price Data

Unit 3: Time Series Data Handling in Pandas for Tesla Stock Analysis

Sort DataFrame by Date in Descending Order
Fix Time Series Data Handling in Pandas
Convert and Set Date as Index for Time Series Data
Convert Date and Set Index in Tesla DataFrame
Handling Tesla Stock Time Series Data

Unit 4: Basic Plotting with Matplotlib

Modify Figure Size and Plot Close Prices
Plotting Tesla's Stock Prices
Visualizing TSLA Low Prices
Plot and Customize TSLA Trading Volume
Plotting Tesla's Closing Prices Over Time

Unit 5: Filtering Data by Date Range in Pandas

Filter and Display Tesla Stock Data for Q1 2020
Identifying and Fixing Date Filter Issues
Filter Tesla Stock Data for Q4 2019
Filter Tesla Stock Data by Date Range
Filter Tesla Stock Data by Date

Reviews

Start your review of Basic $TSLA Financial Data Handling in Pandas