The Data Analyst Course: Complete Data Analyst Bootcamp
This Data Analyst Course is the perfect bootcamp for anyone looking to gain in-demand data skills. Learn Python programming, NumPy, pandas, data preparation, data analysis, and data analytics. Understand the fundamentals and advanced features of NumPy and pandas, work with text files, and master data visualization. Engage with coding exercises and practice with real-world data to prepare for the job. Solve a final capstone project to demonstrate your data analyst skills. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
The Data Analyst Course: Complete Data Analyst Bootcamp equips students with the skills and knowledge necessary to become a data analyst. Students will gain experience with Python programming, NumPy, pandas, data preparation (data collecting, cleaning, preprocessing, visualisation), data analysis, and data analytics. Additionally, students will learn the fundamentals and advanced features of NumPy and Pandas, how to work with text files, different data formats and how they use memory, how to use a simple script to retrieve interesting, real-time data from an API, data cleaning with pandas Series and DataFrames, NumPy statistics and preprocessing, data visualization, and coding exercises. Finally, students will practice with real-world data and solve a final capstone project.
Contribution to Professional Growth:
The Data Analyst Course: Complete Data Analyst Bootcamp equips learners with the skills and knowledge necessary to become a data analyst. It covers topics such as Python programming, NumPy, pandas, data preparation, data analysis, and data analytics. Learners will gain an understanding of the data analyst role, as well as the fundamentals and advanced features of NumPy and pandas. Through coding exercises and real-world data, learners will be able to practice their data analysis skills and gain a better understanding of data visualization. This course provides a comprehensive overview of the data analyst role and the skills necessary to succeed in the field, making it an invaluable resource for professional growth.
Suitability for Further Education:
The Data Analyst Course: Complete Data Analyst Bootcamp equips students with the skills and knowledge necessary to become a data analyst. The course covers topics such as Python programming, NumPy, pandas, data preparation, data analysis, and data analytics. It also covers data visualization, coding exercises, and real-world data. This course is suitable for preparing further education, as it provides a comprehensive overview of the data analyst role and the necessary skills to succeed in the field.
Course Syllabus
Introduction to Data Analytics
Setting up the Environment
Python Basics
Fundamentals for Coding in Python
Mathematics for Python
NumPy Basics
Pandas - Basics
Working with Text Files
Working with Text Data
Must-Know Python Tools
Data Gathering/Data Collection
APIs (POST requests are not needed for this course)
Data Cleaning and Data Preprocessing
pandas Series
pandas DataFrames
NumPy Fundamentals
NumPy DataTypes
Working with Arrays
Generating Data with NumPy
Statistics with NumPy
NumPy - Preprocessing
A Loan Data Example with NumPy
The "Absenteeism" Exercise - Introduction
Solution to the "Absenteeism" Exercise
Data Visualization
Course Provider
Provider Udemy's Stats at AZClass
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