7 Must-Have Skills for Becoming a Data Scientist [VIDEO]

Written by Coursera Staff • Updated on

Dreaming of a career in data science? It's a hot field with high demand and even higher salaries, but it requires a unique blend of technical expertise and soft skills.


[Video Thumbnail] 7 Must-Have Data Science Skills

This video breaks down the 7 ESSENTIAL skills you need to master to land your dream data science job:

  1. Programming (Python, R, SQL):

    The foundation for data analysis and manipulation.

  2. Statistics & Probability:

    Understand the math behind the data.

  3. Data Wrangling & Databases:

    Clean, organize, and manage data like a pro.

  4. Machine Learning:

    Build powerful models to predict outcomes and uncover insights.

  5. Data Visualization:

    Communicate your findings clearly with compelling visuals.

  6. Cloud Computing (AWS, Azure, GCP):

    Harness the power of the cloud for data storage and analysis.

  7. Interpersonal Skills:

    Collaborate effectively and present your insights with clarity.

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Data Science, Generative AI, Predictive Modelling, Data Analysis, Model Selection, Data Visualization, Python Programming, Pandas, Numpy, Dashboards and Charts, Matplotlib, dash, Relational Database Management System (RDBMS), Cloud Databases, Jupyter notebooks, SQL, regression, Clustering, SciPy and scikit-learn, classification, Machine Learning, CRISP-DM, Data Mining, Methodology, K-Means Clustering, Github, Jupyter Notebook, Data Science Methodology, Rstudio, Deep Learning, Big Data, Quering Databases, Data Generation, Interviewing Skills, Resume Building, Career Development, Job Preparation

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