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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Exploratory Data Analysis, Dashboard, Applied Machine Learning, Plotly, Unsupervised Learning, SQL, Supervised Learning, Data Import/Export, Data Wrangling, Matplotlib, Professional Networking, Data Manipulation, Predictive Modeling, Data Literacy, Jupyter, Data Visualization Software, Generative AI, Data Transformation, Data Science, Relational Databases, R Programming, GitHub, Git (Version Control System), Machine Learning, Statistical Programming, Python Programming, Cloud API, Open Source Technology, IBM Cloud, Data Visualization, Query Languages, Restful API, Data Analysis Software, Data Management, Collaborative Software, Application Programming Interface (API), Computer Programming Tools, Large Language Modeling, Natural Language Processing, Data Processing, Data Analysis, Data Cleansing, Deep Learning, Prompt Engineering, Scikit Learn (Machine Learning Library), NumPy, Pandas (Python Package), Regression Analysis, Statistical Analysis, Data-Driven Decision-Making, Machine Learning Methods, Dimensionality Reduction, Decision Tree Learning, Machine Learning Algorithms, Data Pipelines, Random Forest Algorithm, Feature Engineering, Classification And Regression Tree (CART), Databases, Database Design, Stored Procedure, Database Management, Transaction Processing, Interviewing Skills, LinkedIn, Applicant Tracking Systems, Portfolio Management, Company, Product, and Service Knowledge, Business Research, Communication, Relationship Building, Market Research, Presentations, Recruitment, Rapport Building, Big Data, Analytics, Data Mining, Data Storage, Artificial Intelligence, Data Structures, Web Scraping, Programming Principles, Object Oriented Programming (OOP), Data Collection, Computer Programming, Interactive Data Visualization, Scatter Plots, Histogram, Seaborn, Geospatial Mapping, Spatial Data Analysis, Statistical Visualization, Geospatial Information and Technology, Business Analysis, Data Quality, Stakeholder Engagement, Data Modeling, Business Process, User Feedback, Application Deployment, Constructive Feedback, Data Presentation, Statistical Reporting, Data Capture

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