The Data Analyst Course: Complete Data Analyst Bootcamp
About Course
Nội dung bài học
- 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
Course Content
01 – Introduction to the Course
02 – Introduction to Data Analytics
03 – Setting up the Environment
01 – Introduction to the Course
02 – Introduction to Data Analytics
03 – Setting up the Environment
- 01:24
- 05:04
- 03:29
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04 – Python Basics
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05 – Fundamentals for Coding in Python
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06 – Mathematics for Python
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07 – NumPy Basics
08 – Pandas – Basics
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09 – Working with Text Files
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10 – Working with Text Data
- 09:18
- 04:13
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11 – Must-Know Python Tools
12 – Data GatheringData Collection
13 – APIs (POST requests are not needed for this course)
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14 – Data Cleaning and Data Preprocessing
15 – pandas Series
16 – pandas DataFrames
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17 – NumPy Fundamentals
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18 – NumPy DataTypes
19 – Working with Arrays
20 – Generating Data with NumPy
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21 – Statistics with NumPy
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22 – NumPy – Preprocessing
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23 – A Loan Data Example with NumPy
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24 – The Absenteeism Exercise – Introduction
25 – Solution to the Absenteeism Exercise
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26 – Data Visualization
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