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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Scientists

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Preprocessing, Data Science, Autoencoders, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    65 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    327 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Introduction to Clinical Data

    Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Clinical Research Ethics, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Transformation, Data Collection, Data Preprocessing, Text Mining, Medical Imaging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Load Balancing, System Monitoring, Prompt Engineering, Kubernetes, Network Planning And Design, Network Performance Management, Network Monitoring, Firewall, Cloud Computing Architecture, Containerization, Virtual Networking, Network Architecture, Network Security, Cloud Storage, Network Routing, Virtual Private Networks (VPN)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Project Execution: Running the Project

    Skills you'll gain: Quality Management, Project Management Life Cycle, Project Closure, Project Management, Continuous Improvement Process, Process Improvement, Project Controls, Quality Assessment, Team Management, Data-Driven Decision-Making, Project Documentation, Stakeholder Communications, Risk Management, Technical Communication, Meeting Facilitation, Strategic Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Marketing Science Certification Prep

    Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Data Presentation, Marketing, Analytics, Performance marketing, Web Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Relational Database Support for Data Warehouses

    Skills you'll gain: Data Warehousing, SQL, Data Governance, Data Integration, Data Management, Business Intelligence, Oracle Databases, Analytics, PostgreSQL, Data Mining, Big Data, Relational Databases, Database Management Systems, Data Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    592 reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Analytics Foundations

    Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Visualization Software, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Exploratory Data Analysis, Data-Driven Decision-Making, Trend Analysis, Data Transformation, Stakeholder Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

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1…888990…834

In summary, here are 10 of our most popular statistics for data science courses

  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Generative AI for Data Scientists: Microsoft
  • Machine Learning for Data Analysis: Wesleyan University
  • Introduction to Clinical Data: Stanford University
  • Preparing for Google Cloud Certification: Cloud Network Engr: Google Cloud
  • Project Execution: Running the Project: Google
  • Meta Marketing Science Certification Prep: Meta
  • Relational Database Support for Data Warehouses: University of Colorado System
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Data Analytics Foundations: DeepLearning.AI

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