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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SQL, Plotly, Data Cleansing, Supervised Learning, Data Transformation, Data Visualization Software, Data Import/Export, Jupyter, Unsupervised Learning, Generative AI, Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Professional Networking, Data Manipulation, Data Literacy, Interactive Data Visualization, Data Analysis, Feature Engineering, GitHub, R Programming, Machine Learning, Git (Version Control System), Cloud Computing, Python Programming, Software Development Tools, Data Analysis Software, Data Science, Version Control, Open Source Technology, Query Languages, Development Environment, Application Programming Interface (API), Other Programming Languages, Statistical Programming, Computer Programming Tools, Cloud Services, Big Data, Data Synthesis, Data Ethics, Predictive Analytics, Data Modeling, Data Storytelling, Predictive Modeling, Data Presentation, Natural Language Processing, Regression Analysis, Scikit Learn (Machine Learning Library), Pandas (Python Package), Data Pipelines, NumPy, Matplotlib, Statistical Analysis, Data-Driven Decision-Making, Stored Procedure, Transaction Processing, Database Management, Relational Databases, Databases, Database Design, Classification And Regression Tree (CART), Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Statistical Modeling, Deep Learning, Digital Transformation, Artificial Intelligence, Data Mining, Data Structures, Web Scraping, Programming Principles, Object Oriented Programming (OOP), JSON, Automation, Scripting, Restful API, Computer Programming, Data Processing, Scatter Plots, Histogram, Seaborn, Box Plots, Heat Maps, Geospatial Information and Technology, Interviewing Skills, Applicant Tracking Systems, Portfolio Management, Job Analysis, Professional Development, Talent Sourcing, Communication, Business Research, Writing, Company, Product, and Service Knowledge, Problem Solving, Recruitment, Presentations, Data Collection, Machine Learning Methods, Data Quality, Business Analysis, Analytical Skills, Peer Review, User Feedback, Stakeholder Engagement

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