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Data Analysis
with
Python

Explore, Understand, and Empower Your Data!

Program Details

Data Analysis with Python is a 4-week live and online course designed for those who want to perform data analysis. In this program, you will enhance your analytical skills by learning how to work with data using Numpy, Pandas, and visualization tools. You will gain practical knowledge on cleaning, transforming, and visualizing data effectively. The course also provides a strong foundation in statistical concepts and exploratory techniques to uncover patterns in datasets. The training includes interactive lessons, real-time guidance, and hands-on exercises with real datasets to ensure a comprehensive learning experience.

Dates

Starts in the first week of every month and lasts 4 weeks.

Duration

Once a week, each session is a 2-hour live class and lasts 4 weeks.

Target Audience

Students and professionals with basic Python knowledge who are eager to learn data analysis.

Method

Interactive live classes, supported by workshops, video solutions, and platform resources.

Comprehensive Curriculum

A detailed syllabus covering fundamental and advanced topics in data analysis.

40+ Hands-on Projects

Solve diverse, real-world problems to build confidence and expertise.

Interactive Class Activities

Interactive in-class exercises for active learning.

Tailored Career Support

End-of-program advisory sessions to help you achieve your career goals.

Data Manipulation with Numpy and Pandas

  • Array operations with Numpy.

  • Loading and manipulating tables with Pandas.

  • Understanding data types and dimensions.

  • Cleaning data and managing missing values.

Program

Projects

Programs

Upcoming Events

February 2025
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  • Who is this course for?
    This course is designed for professionals with intermediate Python knowledge who want to advance in business analytics and data science.
  • How can I join the course?
    To join the course, you simply need to subscribe to the Hands-on Mentor platform. With a monthly or annual membership, you get unlimited access to all courses, projects, and events.
  • How long is the course, and what is the format of the lessons?
    The course lasts for 4 weeks. Each week, there are 2-hour live sessions. The lessons are supported by workshops, video solutions, and interactive coding exercises.
  • What will I learn in this course?
    In this course, you will learn how to use Python in business areas such as marketing, sales, and customer analytics. You will work on hands-on projects related to data analysis, forecasting, segmentation, and business strategy development.
  • What if I miss a live session?
    Live sessions are recorded and can be rewatched on the platform. This allows you to continue learning at your own pace.
  • Will I receive a certificate at the end of the course?
    Yes! Upon successfully completing the course, you will receive a Hands-on Mentor certification. This certificate can be a strong credential for your career.
  • Do I need any prior knowledge to take this course?
    Yes, you need to have an intermediate level of Python knowledge. Prior experience in data analytics is recommended but not mandatory.
  • Will I have access to additional resources when I enroll?
    Yes! With your Hands-on Mentor membership, you will have access to all projects, supplementary materials, and other courses on the platform during and after the course.
  • What is the Career Development Service?
    The Career Development Service is a comprehensive program designed to optimize your professional profiles and enhance job opportunities. It includes LinkedIn profile improvement, GitHub optimization, resume preparation, cover letter drafting, and interview coaching.
  • Who is this service for?
    This service is ideal for students, recent graduates, and professionals looking to advance their careers or transition into new roles.
  • How does the service work?
    The process begins with you sharing your profile and resume with our career coach. Your coach will conduct a detailed review and provide personalized feedback. Then, a one-on-one session is scheduled to make necessary improvements.
  • What does the service include?
    The service covers the following: LinkedIn profile optimization GitHub profile improvement Data portfolio enhancement Effective resume writing Cover letter drafting Interview preparation and coaching
  • Can I get a one-on-one career coaching session?
    Yes, in addition to the core service, you can purchase a one-on-one career coaching session for an additional fee. These sessions provide in-depth guidance tailored to your career goals.
  • Is this a single session or an ongoing program?
    This service consists of standalone, independent sessions held on a regular weekly basis. You can join at any time.
  • What should I do after purchasing the service?
    After purchasing the service, you need to submit your resume and relevant profile links for review. Your coach will contact you to schedule your session.
  • How can I get the most out of this service?
    To maximize the benefits, update your current professional information, clarify your career goals, and be open to the guidance provided by your coach.

Choose your pricing plan

Find one that works for you

  • Data Sprint

    34.90€
    Every month
    Hands-on Mentor Platform Access For A Month
     3 day free trial
    • Accelerated Education Programs
    • Real-Life Project Videos
    • Live Daily Mentor Workshops
    • Career Coaching Webinars
    • Bonus Mentor Webinars
  • Best Value

    Data Journey

    249.90€
    Every year
    Hands-on Mentor Platform Access For A Year
     3 day free trial
    • Accelerated Education Programs
    • Real-Life Project Videos
    • Daily Live Mentor Workshops
    • Career Coaching Webinars
    • Bonus Mentor Webinars

Contact Us for More Details

If you have any questions or would like more information about the Data Analysis with Python education program, feel free to reach out to us. We’re happy to assist you with any inquiries, registration details, or clarifications about the course content and structure.

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