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 TrialSkills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages
Skills you'll gain: Facebook, Marketing Analytics, Advertising, Digital Advertising, Social Media Content, Social Media Marketing, Social Media, Content Marketing, Scheduling, Target Audience, Social Media Management, Customer Engagement
Status: Free TrialSkills you'll gain: Medical Terminology, Anatomy, Pathology, Medical Records, Physiology, Cell Biology, Biology, Vital Signs, Nutrition and Diet
Status: Free TrialAmazon Web Services
Skills you'll gain: Amazon Web Services, Cloud Computing Architecture, Software Architecture, AWS Identity and Access Management (IAM), Solution Architecture, AWS CloudFormation, Amazon Elastic Compute Cloud, Cloud Deployment, Amazon S3, Cloud Security, Amazon CloudWatch, Serverless Computing, Amazon DynamoDB, Network Architecture, Scalability, Disaster Recovery
Status: PreviewSkills you'll gain: General Data Protection Regulation (GDPR), Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Integrity, Vulnerability Assessments, Law, Regulation, and Compliance, Big Data, Cryptography
Google Cloud
Skills you'll gain: Big Data, Analytics, Query Languages, Data Analysis, Data Mining, Data Manipulation, SQL, Data Management
Status: NewStatus: Free TrialSkills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Portfolio Management, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics
Status: FreePrinceton University
Skills you'll gain: Data Structures, Algorithms, Java, Computer Programming, Computational Thinking, Spatial Data Analysis, Theoretical Computer Science, Simulations
Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
Status: Free TrialIE Business School
Skills you'll gain: Storytelling, Content Marketing, Brand Strategy, Content Creation, Branding, Marketing Communications, Social Media Content, Brand Awareness, Advertising, Content Strategy, Journalism, Customer Engagement, Presentations, Game Design, Target Audience
Status: FreeSkills you'll gain: Video Production, Storytelling, Video Editing, Content Creation, Animations, Generative AI, Editing
In summary, here are 10 of our most popular statistics for data science courses
- Creating a Looker Modeled Query and Working with Quick Start: Google Cloud
- Small Business Marketing Using Facebook: Coursera
- Medical Terminology and the Human Body Fundamentals: MedCerts
- Exam Prep: AWS Certified Solutions Architect - Associate: Amazon Web Services
- Security and Privacy for Big Data - Part 2: 28DIGITAL
- BigQuery Soccer Data Analytical Insight: Google Cloud
- Seaborn with Python: Data Visualization for Beginners: EDUCBA
- Interest Rate Models: École Polytechnique Fédérale de Lausanne
- Алгоритмы, часть I: Princeton University
- Deep Neural Network for Beginners Using Python: Packt
