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: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Semiconductors, Electronic Components, Electronics, Electrical Engineering, Materials science, Physics
Status: Free TrialSkills you'll gain: Restful API, Android Development, Kotlin, API Design, Android Studio, Mobile Development, Database Management, Data Persistence, Databases, JSON, Web Applications, SQL
Status: Free TrialYonsei University
Skills you'll gain: Business Marketing, B2B Sales, Global Marketing, Business-To-Consumer, Market Opportunities, Growth Strategies, Marketing, Marketing Channel, Customer Engagement, Promotional Strategies, Marketing Strategies, Business Strategies, Product Marketing, Value Propositions, Innovation, Marketing Communications, Interviewing Skills, Case Studies
Coursera
Skills you'll gain: Spatial Data Analysis, Data Visualization Software, Data Visualization, Geospatial Mapping, Geospatial Information and Technology, Interactive Data Visualization, Scatter Plots, Software Installation, Python Programming
Status: PreviewRutgers the State University of New Jersey
Skills you'll gain: Cultural Diversity, Anthropology, Biology, Sociology, Psychology, Ancient History, Political Sciences, Neurology, Scientific Methods, Research, Science and Research
Status: Free TrialSkills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Status: PreviewJohns Hopkins University
Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Status: Free TrialSkills you'll gain: Engineering Software, Software Development, Interviewing Skills, Software Engineering, Relationship Building, Professional Development, Application Development, DevOps, Professionalism, Verbal Communication Skills, Problem Solving, Communication, Cloud Computing
Politecnico di Milano
Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Application Specific Integrated Circuits, Technical Design, Systems Design, Computer Architecture, Hardware Architecture, Electronic Hardware, Distributed Computing, System Configuration, Cloud Computing Architecture, Computer-Aided Design
Status: Free TrialLearnQuest
Skills you'll gain: Spring Framework, Object-Relational Mapping, Transaction Processing, Data Persistence, Database Systems, Java, Data Access, Restful API, Web Services, Middleware
Status: Free TrialFractal Analytics
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Enterprise Architecture, AI Enablement, Metadata Management, Data Science, Machine Learning
Status: Free TrialTecnológico de Monterrey
Skills you'll gain: Negotiation, Conflict Management, Assertiveness, Communication, Interpersonal Communications, Active Listening, Empathy, Performance Review, Constructive Feedback, Organizational Leadership, Relationship Building, Leadership and Management, Team Leadership, Leadership, Emotional Intelligence, Strategic Communication, Influencing, Business Leadership, Communication Strategies, Strategic Planning
In summary, here are 10 of our most popular statistics for data science courses
- Introduction to Semiconductor Devices 1: Korea Advanced Institute of Science and Technology(KAIST)
- Working with Data in Android: Meta
- International B2B (Business to Business) Marketing: Yonsei University
- Data Visualization using Bokeh: Coursera
- Soul Beliefs: Causes and Consequences - Unit 2: Belief Systems: Rutgers the State University of New Jersey
- Foundations of ML & Python for Data Science: Packt
- Random Processes: Johns Hopkins University
- Software Developer Career Guide and Interview Preparation: IBM
- FPGA computing systems: Background knowledge and introductory materials: Politecnico di Milano
- Spring Data Repositories: LearnQuest
