Online Course – Certified Professional Internship in Data Handling with Google’s Python, University of Colorado Boulder

Start your career in data science. In these courses, you will master the skills and techniques that will prepare you to face real-world challenges in data analysis.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Basic tools
  • Data Collection
  • Understanding data
  • Early data processing
  • Practical experience in the data processing process
  • Data analysis in reality
  • Applying knowledge in a real data processing project
  • Understanding data sources
  • Data integration

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Data Project Manager
  • Information Systems Developer
  • Research planner
  • Systems Analyst
  • Data collection specialist
  • Data processing specialist
  • Data analysis consultant
  • Data Manager

Internship – 5-part course series

This specialization covers essential topics such as:

  • Basic tools
  • Data Collection
  • Understanding data
  • Early data processing

The specialization is designed for beginners, with an emphasis on practical exercises and case studies to reinforce learning. By mastering the skills and techniques taught in these courses, students will be better equipped to face the challenges of data analysis in real life.

The Practical Learning Project

The final project provides students with the opportunity to apply the knowledge gained during the internship to a real data processing project that interests them. Participants will follow the data processing process step by step, from understanding the data sources to processing and integrating data, in order to obtain a data set ready for analysis.

This course allows students to gain practical experience in the data processing process and prepares them to deal with complex data challenges in real environments.

Details of the courses that make up the specialization

Basic data processing tools

Course 1

26 hours
4.6 (13 ratings)

What you’ll learn:

  • Programming basics in Python.
  • Identify data structures for data organization and analysis.
  • Using NumPy and Pandas for calculations and data processing.

Skills you will acquire:

  • Python libraries
  • Collecting data from files
  • Pandas
  • Data integration
  • Researching data from the Internet

Course 2

28 hours
4.4 (10 ratings)

What you’ll learn:

  • Collecting data from various sources using Python.
  • Consolidate data into a unified data set.

Skills you will acquire:

  • Python libraries
  • Data storage
  • Pandas
  • Data scaling
  • Pivot table

Course 3

25 hours

What you’ll learn:

  • Understanding and communicating statistical aspects of data sets.
  • Using Pandas for data processing.
  • Using Matplotlib and Seaborn to create visualizations.

Skills you will acquire:

  • Seaborn
  • Python programming
  • Pandas
  • Data visualization
  • Matplotlib

Course 4

28 hours

What you’ll learn:

  • Processing and manipulating data in the data analysis pipeline.
  • Techniques for handling missing and failed values.
  • Understanding the concept of the data cube.

Skills you will acquire:

  • Data Management
  • Python libraries
  • Data manipulation
  • Data visualization
  • Data exploration

Course 5

25 hours

What you’ll learn:

  • Launching a data processing project from raw data.
  • Applying data processing techniques to realistic data scenarios.
  • Using Python libraries and tools.

Skills you will acquire:

  • data structure
  • Ipython
  • Python programming
  • Numpy
  • Pandas