The Data Analyst Course: Complete Data Analyst Bootcamp 2023

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

Anyone interested in learning how to analyze data effectively can take the free online course The Complete Data Analyst Bootcamp. The fundamentals through more complex methods are all covered in this course for anyone interested in the field of data analysis. This course will help you improve your abilities and knowledge, whether you’re a total beginner or have some expertise with data analysis.

What you will learn in Complete Data Analyst Bootcamp course:

  1. Complete preparation to become a data analyst
  2. In-demand data skills:
    • Python programming
    • NumPy
    • Pandas
    • Data preparation (data collection, data cleaning, data preprocessing, data visualization)
    • Data analysis
    • Data analytics
  3. Understanding of the data analyst role
  4. Beginner and advanced Python
  5. Mathematics for Python
  6. NumPy and pandas basics and advanced
  7. Working with text files
  8. Understanding different data types and their memory usage
  9. Obtaining real-time information from an API with a simple script
  10. Cleaning data with pandas Series and DataFrames
  11. Completing a data cleaning exercise on absenteeism rate
  12. Expanding knowledge of NumPy – statistics and preprocessing
  13. Going through a complete loan data case study and applying NumPy skills
  14. Mastering data visualization
    • Creating pie, bar, line, area, histogram, scatter, regression, and combo charts
  15. Engaging with coding exercises that will prepare you for the job
  16. Practicing with real-world data
  17. Solving a final capstone project.

Become a Job-Ready Data Analyst with The Complete Data Analyst Bootcamp Course:

Learn how to work with raw data, clean and preprocess it with The Complete Data Analyst Bootcamp Course. Our course covers theory, basic and advanced Python, NumPy, Pandas, data collection, cleaning, preprocessing, visualization, and more.

The problem:

Many data analyst, data science, and coding courses don’t teach you how to work with raw data, clean, and preprocess it, creating a gap between the skills needed on the job and those acquired in training. This gap can set you back when you’re applying for jobs or when you’re on the job. Most bootcamps and live classes neglect this aspect and show you how to work with ‘clean’ data, but this isn’t enough to become an independent data professional.

The solution:

The Data Analyst Course provides complete preparation to turn you into a job-ready data analyst. Our course covers theory, basic and advanced Python, NumPy, Pandas, working with text files, data collection, cleaning, preprocessing, data visualization, and final practical examples. Each subject builds on the previous one, ensuring that you don’t get lost along the way. Our curriculum teaches you the necessary skills in the right order, so you’re not analyzing data before learning how to gather and clean it.

The benefits:

Our course is a unique training program that teaches the fundamentals you need for the job, which are often neglected in traditional programs. We focus on teaching topics that flow smoothly and complement each other, providing complete preparation for becoming a data analyst at a fraction of the cost and time of traditional programs. Our resource significantly boosts your chances of landing a job, as it prepares you for practical tasks and concepts that are frequently included in interviews.

The topics covered:

  1. Theory about the field of data analytics
  2. Basic Python
  3. Advanced Python
  4. NumPy
  5. Pandas
  6. Working with text files
  7. Data collection
  8. Data cleaning
  9. Data preprocessing
  10. Data visualization
  11. Final practical example

Course breakdown:

  1. Theory about the field of data analytics: This section defines who a data analyst is, what they do, and how they create value for an organization. It provides a general understanding of the course’s content.
  2. Basic Python: This section teaches you the basics of Python. You don’t need prior programming experience.
  3. Advanced Python: This section covers advanced Python topics such as working with text data, list comprehensions, and anonymous functions.
  4. NumPy: This section teaches you NumPy, Python’s fundamental package for scientific computing. It provides flexibility and can take your analysis to the next level.
  5. Pandas: This section covers Pandas, one of the most popular Python tools for data manipulation and analysis. Its data manipulation features are second to none in Python.
  6. Working with text files: This section covers how to work with text files.
  7. Data collection: This section covers data collection techniques.
  8. Data cleaning: This section covers data cleaning techniques.
  9. Data preprocessing: This section covers data preprocessing techniques.
  10. Data visualization: This section covers data visualization techniques.
  11. Final practical example: This section provides a final practical example to help you apply everything you have learned throughout the course.

Enroll in The Data Analyst Course today and become a job-ready data analyst!

Target audience:

  • This course is for individuals who want to become a Data Analyst and Data Scientist.
  • If you are looking for a great career, then this course is for you.
  • The course is suitable for beginners as it starts from the fundamentals and gradually builds up your skills.

Requirements for this Complete Data Analyst Bootcamp course:

  1. No prior experience is necessary; the course begins with the basics.
  2. You will need to install Anaconda, but we will provide step-by-step instructions.

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