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First Steps in Python with Jupyter Notebooks

In this course, you'll set up a powerful development environment, master essential Python syntax, and learn to leverage GitHub for seamless collaboration. By the module's end, you'll be equipped with the same foundational skills used by industry pros, including cutting-edge GenAI applications. Get ready to transform from a coding novice to a confident data explorer. Upon completion, you'll be able to: • Explain the role of Python in data science and how GitHub integrates into a modern data workflow. • Describe Python’s core syntax, data types, control structures, and functions. • Set up and navigate Jupyter Notebooks as an interactive development environment. • Implement basic version control workflows using Git repositories, commits, and branches for data science projects. • Apply collaborative Git practices through clear commit messages and branching strategies. • Demonstrate the ability to set up a notebook environment and perform initial version control tasks through a challenge lab.
Duration 4 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $117
Total Est. Investment $117

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the First Steps in Python with Jupyter Notebooks program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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