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Data Science Resources

Explore our guides, templates, and tools for Data Scientists. Whether you鈥檙e an aspiring data scientist starting out or a senior data leader looking for a refresher, 糖心vlog官网观看鈥檚 Data Scientist Resources will support you at every stage of your career.

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Popular Data Science Courses

Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

Status: AI skills

Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking

Status: AI skills

Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Dashboard, Interactive Data Visualization, Tableau Software, Web Scraping, Data Visualization Software, Time Series Analysis and Forecasting, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Pandas (Python Package), Statistics, Statistical Hypothesis Testing, SQL, Databases, JSON

What are the top skills needed to be a data scientist?

Analytical skills: Analytics skills are crucial for data scientists as they enable them to transform raw data into actionable insights, driving informed decision-making to help solve complex business problems. Top skills include:

Programming Languages: Proficiency in languages like Python and R is vital because they provide the tools for data scientists to manipulate, analyze, and visualize large datasets efficiently. Top languages include:

Math & statistics: Mathematical and statistical knowledge is essential for designing experiments, assessing correlations, and optimizing algorithms to ensure precise and reliable outcomes in any data-driven project. Key skills to learn: