6 months
Duration
Free
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Unknown
Tuition fee
Anytime
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Apply date
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Start date

About

This action-packed Applied Data Science Specialization offered by Coursera in partnership with IBM is for data science enthusiasts who want to acquire practical skills for real world data problems. 

Visit the official programme website for more information

Overview

If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!  

This 4-course Applied Data Science Specialization offered by Coursera in partnership with IBM will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.

Through guided lectures, labs, and projects in the IBM Cloud, you’ll get hands-on experience tackling interesting data problems from start to finish. Take this Specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.

In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in applied data science.

This Specialization can also be applied toward the IBM Data Science Professional Certificate. 

Applied Learning Project

Complete hands-on labs and projects in the IBM Cloud by applying your newly acquired skills and knowledge throughout the Specialization. Projects include creating a random album generator, building a machine learning model, and analyzing geospatial data.  

Programme Structure

Courses include:

  • Python for Data Science and AI
  • Data Analysis with Python
  • Data Visualization with Python
  • Applied Data Science Capstone

More Details on Coursera Plus:

  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
  • Save money: Spend less money on your learning if you plan to take multiple courses this year
  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

Key information

Duration

  • Part-time
    • 6 months
    • 4 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner Level

  • No prior experience required.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 6 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 6 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access. 

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Applied Data Science
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