IBM Applied Data Science Capstone Certificate Course

Start your journey of becoming a proper Data Scientist by enrolling in the IBM Applied Data Science Capstone Certificate Course.

IBM

Course Overview

This course culminates in the IBM Data Science Professional Certificate and Applied Data Science with Python Specialisation. By taking this capstone project course, you will be able to practise using datasets in a way similar to how data scientists operate in the real world.

You will play the part of a data scientist in this course who works for a startup that wants to take on SpaceX. Data gathering, data wrangling, exploratory data analysis, data visualisation, model construction, model evaluation, and reporting your findings to stakeholders are all part of the process that adheres to the Data Science approach.

Your job is to forecast if the SpaceX Falcon 9 rocket's first stage will land successfully. The competing startup that has recruited you will be able to make better-informed bids against SpaceX for a rocket launch thanks to your data science results and models.

What you'll learn

  • Github
  • Jupyter Notebook
  • K-Means Clustering
  • Methodology
  • Data Science Methodology

Requirements

  • Basic knowledge of Python programming and data.
  • A computer or laptop with internet connectivity.
  • Learn all about data science in only thirteen hours.
  • Flexible work schedule.

AccessTo Career Resources with IBM Applied Data Science Capstone Certificate Course

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Course

Enhanced Employability:

An outstanding IBM Applied Data Science Capstone Certificate that increases your chances of landing the best jobs.

Course

Competitive Advantage:

A chance to differentiate yourself from the crowd and leave a greater impact on prospective employers.

Course

Skill Validation:

A strong validation of your data science skills verifies your ability to successfully perform all data scientist tasks.

Course

Networking Opportunities:

The IBM Applied Data Science Capstone Certificate course provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.

Course

4.7 Course (7007 reviews)

Beginner level

Intermediate

Duration

1-4 Weeks

Earn degree credit

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