Python Data Visualization: Matplotlib & Seaborn Masterclass

Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

What Will I Learn?

• The course provides the complete preparation you need to become a data analyst
• Fill up your resume with in-demand data skills: Python programming, NumPy, pandas, data preparation - data collection, data cleaning, data preprocessing, data visualization; data analysis, data analytics
• Acquire a big picture understanding of the data analyst role
• Learn beginner and advanced Python
• Study mathematics for Python
• We will teach you NumPy and pandas, basics and advanced
• Be able to work with text files
• Understand different data types and their memory usage
• Learn how to obtain interesting, real-time information from an API with a simple script
• Clean data with pandas Series and DataFrames
• Complete a data cleaning exercise on absenteeism rate
• Expand your knowledge of NumPy – statistics and preprocessing
• Go through a complete loan data case study and apply your NumPy skills
• Master data visualization
• Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts
• Engage with coding exercises that will prepare you for the job
• Practice with real-world data
• Solve a final capstone project

Requirements

• No prior experience is required. We will start from the very basics
• You’ll need to install Anaconda. We will show you how to do that step by step

Target audience

• You should take this course if you want to become a Data Analyst and Data Scientist
• This course is for you if you want a great career
• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills