Online Course top-rated free
Dates and Times in Python

with Ivan Manov and Martin Ganchev

Take your data analyst skillset to the next level: master working with dates and times in Python

4.9

808 reviews on
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4870 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Intermediate

Duration:

3 hours
  • Lessons (2 hours)
  • Practice exams (30 minutes)

CPE credits:

3.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Master working with dates, times, time zones, and time standards.
  • Boost your Python skills for handling date- and time-based data.
  • Apply date/time logic to analyze a real-world sales dataset.
  • Translate date-time insights into compelling visualizations.
  • Advance toward full Python proficiency through practical date-time tasks.

Topics & tools

pythonprogrammingdata visualizationjupyterdates and timestime zonesdata preprocessing

Your instructor

Ivan Manov

Ivan Manov

AI & Data Science Course Creator | Sound Engineer

Track record

Bringing real-world expertise from leading global companies

Company logo 1

Academic background

Master's degree, Sound Engineering

New Bulgarian University

Media and recognition

  • Author of Speech Recognition with Python on 365DS & Udemy
  • Speaker at Power Platform Bootcamp 2025 on Audio AI
  • Sound Engineer for TV/Film incl. The Bachelor & award-winners
Ask Ivan a question
Martin Ganchev

Martin Ganchev

Content Creator & Content Manager at 365 Data Science | Data Science Instructor

Track record

Bringing real-world expertise from leading global companies

Company logo 1

Academic background

Master's degree, Economic and Social Sciences

Bocconi University
Ask Martin a question
  • Course Overview
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    • Course OVERVIEW

    Description

    CPE Credits: 3.5 Field of Study: Information Technology
    Delivery Method: QAS Self Study
    Dates and Times in Python is the course that will take your data analyst skillset to the next level! The ability to adjust dates and time according to a specific territory is crucial across numerous businesses and industries. In this course, you will master handling both date values that depend on the structure of the different calendars used across the globe, and time values that reflect time-saving regulations, clock changes, and time conversions. You will also discover how to keep track of historical data, use specific date- and time-related libraries, classes, methods, and conversion techniques in Python.

    Prerequisites

    • Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code)
    • Completion of an introductory Python course is required.

    Advanced preparation

    See more

    Curriculum

    23 lessons 13 exercises 3 exams

    Free preview

    What Does the Course Cover

    1.1 What Does the Course Cover

    4 min

    Introduction to Working with Dates and Times

    1.2 Introduction to Working with Dates and Times

    3 min

    Time Standards and Regulations: GMT and UTC

    1.3 Time Standards and Regulations: GMT and UTC

    6 min

    Principles of Working with Dates and Times in Computing – Unix Time

    1.5 Principles of Working with Dates and Times in Computing – Unix Time

    3 min

    Principles of Working with Dates and Times in Computing – Dates in Python

    1.7 Principles of Working with Dates and Times in Computing – Dates in Python

    5 min

    The datetime Module: working with Dates

    1.9 The datetime Module: working with Dates

    7 min

    Start for free

    Very well designed, well narrated course. Starts from scratch and ends up at the advanced levels. The icing on the cake is the integration of My SQL with Tableau at the end of the course which is a very important aspect of today's Data Analytics field. I have personally saved the last 10 practice exercises to dive in some days later, thus it will enable me to revise the course in the process.

    Nilotpal C.

    Nilotpal C.

    See all reviews

    4.9

    Based on 808 reviews

    #1 most reviewed

    AI and data learning platform on Trustpilot.

    When I began my master’s program, I felt lost—statistical jargon was overwhelming, and Python and R seemed impossible. 365 Data Science changed that. The clear explanations, structured courses, and practical projects helped me build a solid foundation in statistics, programming, and SQL. I not only completed my degree but also advanced to a better role. 365 made complex topics approachable and gave me skills that boosted both my academic and professional growth.

    Enamul K. B.

    Enamul K. B.

    After 365: Accounting Manager | JFE Engineering Corporation

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    9 in 10

    of our graduates landed a new AI & data job

    after enrollment

    One of the biggest takeaways from the bootcamp was the ability to tackle real-world data problems. During my job interview, I was given a practical task by the hiring managers, and thanks to the skills I gained from 365 Data Science, I was the only candidate who solved it! After this, I was hired as a BI developer and have now moved up to a data engineer.

    Kristiyan Y.

    Kristiyan Y.

    Before 365: Payments Agent | 1ForFit
    After 365: Data Engineer | DSK Bank

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    96%

    of our students recommend

    365 Data Science.

    ACCREDITED certificates

    Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

    Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

    Learn More
    • Institute of Analytics
    • The Association of Data Scientists
    • E-Learning Quality Network
    • European Agency for Higher Education and Accreditation
    • Global Association of Online Trainers and Examiners
    Learn More
    A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

    How it WORKS

    • Lessons
    • Exercises
    • Projects
    • Practice Exams
    • AI Mock Interviews

    Lessons

    Learn through short, simple lessons—no prior experience in AI or data science needed.

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    Exercises

    Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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    Projects

    Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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    Practice Exams

    Track your progress and solidify your knowledge with regular practice exams.

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    AI Mock Interviews

    Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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    Student REVIEWS

    A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.
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