Learn to code for data analysis

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This course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean and analyze it, and produce visualizations. You will also learn how to write up and share your analyses, privately or publicly. You’ll code in Python, a widely used programming language across all disciplines. You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily.

(1 customer review)
Product is rated as #7 in category Data Analytics

Advantage of this course

About The Course

  • This course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean and analyze it, and produce visualizations. You will also learn how to write up and share your analyses, privately or publicly.
  • You’ll code in Python, a widely used programming language across all disciplines.
  • You will write up analyses and do coding exercises using the popular Jupyter Notebooks platform, which allows you to see immediately the result of running your code and helps you identify – and fix – any errors more easily.

What Will You Learn

Buy Now Learn to code for data analysis

Course Contents

Introduction to Data Analysis and Coding

Overview of data analysis and its importance in various industries. Introduction to coding concepts and its relevance in data analysis.

Data Manipulation with pandas (Python)

Data cleaning and preprocessing techniques. Data filtering, aggregation, and transformation. Handling missing values and outliers.

Data Cleaning and Preprocessing

Techniques for handling missing data, duplicates, and data quality issues. Feature scaling and normalization. Encoding categorical variables for analysis.

FAQ

Data analytics is the process of examining, interpreting, and extracting meaningful insights from data to support decision-making. It is crucial for businesses to make data-driven decisions, identify trends, and gain a competitive advantage.

While prior knowledge of data analytics is not always required, having basic mathematical skills and familiarity with computer applications can be beneficial. Some courses are designed for beginners and assume no prior experience.

The course will typically focus on data analysis tools such as Python with libraries like pandas, NumPy, and matplotlib. It might also cover SQL for data querying and manipulation.

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    Learn to code for data analysis
    Learn to code for data analysis

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