764 results for "introduction to data science"
University of Illinois at Urbana-Champaign
Skills you'll gain: Financial Analysis, Tax, Financial Accounting, Accounting, Python (Programming Language), Data Analysis, Statistical Programming, Entrepreneurship, Mergers and Acquisitions, Financial Reporting, Auditing, Digital Marketing, Pandas (Python Package), Business Strategies, Corporate Accounting, Operations Management, Management, Marketing, Scikit Learn (Machine Learning Library), Business Analysis, Finance, Market Analysis, Strategic Planning, Teamwork, Cost Accounting, Economics, Policy, and Social Studies, Critical Thinking and Problem Solving, Data Visualization, Marketing Strategy and Techniques, Tax Management, Business Leadership, Diversity Marketing, Financial Modeling, Generally Accepted Accounting Principles, Law, Regulation, and Compliance, Probability and Statistics, Strategic Thinking, Computer Programming, Exploratory Data Analysis, Innovation, Marketing Analytics, Project Management, Regression Analysis, Sales, Statistical Analysis, Critical Thinking, Descriptive Statistics, Economics, Lifelong Learning, Machine Learning, Management Accounting, R (Programming Language), Risk Analysis, Risk Management, Brand Management, Business Communications, Creativity, Decision Making, Financial Statements, Information Architecture, Specialized Accounting, Collaboration, Communication, Financial Forecasting, Investment Management, Investments, Market Research, Regulation and Legal Compliance, Revenue Recognition, Statistics, Analytics, Branding, Business Strategy, Contract Management, Corporate Sustainability, Culture Transformation, Customer Analysis, Data Structures, Design Thinking, Entrepreneurial Finance, Graphing, Industrial and Organizational Psychology, Initiative and Leadership, Inventory Management, Organizational Development, Performance Management, Research and Development, Statistical Hypothesis Testing, Accounting and Finance Software, Agile Methodology, Business Communication, Business Development, Business Management, Business Modeling, Cost Estimation, Data Administration, Database Software, Decision Tree Learning, Diversity and Inclusion, Financial Management, Fixed Asset, General Accounting, Go To Market Strategy, Human Resource Planning, Information Technology, Internal Auditing, Inventory Control, Leadership Development, Lease Contracts, Marketing Strategies, Natural Language Processing, Process Improvement and Optimization, Profit and Loss (P&L) Management, Psychology, SQL (Programming Language), Statistical Graphics, Supply Chain, Supply Chain Management, Theory of Computation, 3D Visualization, Accounts Receivable, Adaptability, Advanced Analytics, Advertisement, Automation, Banking, Budgeting, Change Management, Communications, Compensation and Benefits, Computer Aided Design, Correlation Analysis, Creative Design, Cybersecurity, Data Analysis Software, Data Collection, Data Governance, Data Management, Data Quality, Data Science, Data Visualization Software, Dependency Analysis, External Auditing, Financial Industry Regulatory Authorities, Financial Regulation, Financial Services, Game Theory, General Finance, Human Factors Engineering, Identity and Access Management, Information Assurance, Information Systems, Instructional and Curriculum Design, Internal Controls, Loans, Marketing Channel, Marketing Effectiveness, Marketing and Public Relations, Mathematics and Mathematical Modeling, Microsoft Excel, Negotiation, Network Analysis, New Business Development, NumPy, Planning, Power BI, Probability Distribution, Problem Solving, Process Improvement, Product Development, Project Planning, Promotions and Campaigns, Public Accounting, Quality Management, Research, Retail Operations, Sales Tax, Sarbanes Oxley Act (SOX) Compliance, Spreadsheets, Standard Accounting Practices, Storytelling, Survey Development, Text Mining, Variance Analysis, Web Analytics and SEO, Writing and Editing
University of California San Diego
Skills you'll gain: Mathematics and Mathematical Modeling, C (Programming Language), Data Structures, Graph Theory, Algorithms, Computer Programming, Text Mining, Bioinformatics, Programming Concepts, Computational Logic, C Based Programming Languages, Natural Language Processing, Network Analysis, Problem Solving, PySpark, Python (Programming Language)
- Status: Free
Duke University
Skills you'll gain: Experimentation, Logical Reasoning, Physics
Johns Hopkins University
Skills you'll gain: Clinical Trials, Clinical Data Management, Data Collection
Imperial College London
Skills you'll gain: Statistical Analysis, Statistical Hypothesis Testing, Descriptive Statistics
Skills you'll gain: SQL (Programming Language), Data Analysis, MySQL, Relational Databases
Skills you'll gain: Data Collection, Data Management, Business Intelligence Software, Data Analysis
Skills you'll gain: Data Analysis, Data Visualization, Analytics, Business Intelligence Software, Data Cleansing
Skills you'll gain: Computer Vision, Image Analysis, Machine Learning, Data Science, Deep Learning
Skills you'll gain: R (Programming Language), Regression Analysis, Data Analysis, Data Science, Data Visualization, Statistical Analysis, Statistical Programming
Skills you'll gain: Cplusplus, Programming Concepts
DeepLearning.AI
Skills you'll gain: Mathematics and Mathematical Modeling, Calculus, Generative AI, Machine Learning, Machine Learning Algorithms, Machine Learning Methods
In summary, here are 10 of our most popular introduction to data science courses
- Master of Science in Management:Â University of Illinois at Urbana-Champaign
- Data Structures and Algorithms:Â University of California San Diego
- Introduction to Chemistry: Reactions and Ratios:Â Duke University
- Introduction to Systematic Review and Meta-Analysis:Â Johns Hopkins University
- Introduction to Statistics & Data Analysis in Public Health:Â Imperial College London
- SQL: A Practical Introduction for Querying Databases:Â IBM
- Prepare Data for Exploration:Â Google
- Foundations: Data, Data, Everywhere:Â Google
- Introduction to Computer Vision and Image Processing:Â IBM
- Data Analysis with R:Â IBM