All current מדע נתונים courses in 2024
1126 קורסים
State of the global industry (fans, revenue, technology)
Explore the global sports industry's transformation through fan behavior, evolving revenue models, and technology's role in reshaping performance and engagement strategies.
Prepare for CFA Level 1: Quantitative Methods and Returns
Master quantitative finance concepts including statistical methods, probability, Monte Carlo simulation, regression analysis, and machine learning applications for portfolio risk, returns, and investment decision-making.
Evaluating and Finalizing Your Feature-Driven Model
Master feature engineering across Linear Regression, Random Forest, and LightGBM—build model-specific features, compare RMSE results, and refine pipelines with evidence-based decisions.
AI-Powered Decision Intelligence: Data to Strategic Insights
Master AI-powered decision intelligence by transforming complex data into strategic insights using Python, ML models, causal inference, and generative AI—preparing you for high-demand data and AI analyst roles.
Microsoft Copilot for Excel
Master Microsoft Copilot in Excel to automate complex analysis, craft logic-based prompts, detect financial risks, and transform raw data into compelling executive insights without manual formula writing.
Lead AI Governance, Policy, and Continuous Compliance
Master AI governance at scale—build KPI frameworks, compliance dashboards, and adaptive policies aligned with EU AI Act, NIST RMF, and ISO 42001 to lead responsible AI programs.
Master Financial Systems & Data Analytics
Explore financial systems, data analytics, and governance frameworks like COSO and COBIT. Gain skills in AIS, ERP, AI, blockchain, and analytics models to drive data-driven decisions in modern finance.
Foundations of Data Science and Statistical Methods
Explore the foundations of data science, covering statistical methods, data collection, EDA, and mathematical concepts—ideal for beginners with no prior experience required.
Databricks Machine Learning Quickstart
Master rapid ML deployment on Databricks by tracking experiments with MLflow, leveraging AutoML for model selection, and deploying production-grade serving endpoints with performance monitoring.
Why Data Analytics Matters
Explore how data analytics, AI, and LLMs drive competitive advantage, innovation, and decision-making in organizations through frameworks, case studies, and hands-on labs.
Databricks GenAI Engineering
Master building production-grade GenAI apps on Databricks by constructing RAG pipelines, fine-tuning models with MLflow, and evaluating responses for relevance, hallucination rate, and latency.
Uncover Market Trends with Data Analysis
Develop essential trend analysis skills to distinguish market trends from fads, analyze time-series data, and create clear visualizations that drive evidence-based business decisions.