Certificate in Data Science Fundamentals: Foundational Skills
-- ViewingNowThe Certificate in Data Science Fundamentals: Foundational Skills is a comprehensive course designed to equip learners with essential data science skills. In today's data-driven world, the demand for data science professionals is at an all-time high, with job opportunities spanning various industries.
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⢠Introduction to Data Science: Nature, importance, and applications of data science. Data science lifecycle, data science roles, and career paths.
⢠Statistics and Probability: Descriptive and inferential statistics, probability distributions, statistical significance, and hypothesis testing.
⢠Data Wrangling and Preprocessing: Data collection, data cleaning, data transformation, missing data imputation, and data normalization.
⢠Data Visualization: Data visualization principles, chart types, visualization libraries (e.g., Matplotlib, Seaborn, Plotly), and storytelling with data.
⢠Machine Learning Fundamentals: Supervised, unsupervised, and reinforcement learning, model evaluation, overfitting and underfitting, bias-variance tradeoff.
⢠Python for Data Science: Python basics, popular libraries (NumPy, pandas, scikit-learn, TensorFlow, Keras), and best practices.
⢠SQL and Big Data Technologies SQL basics, database management systems, and NoSQL databases. Big Data technologies: Hadoop, Spark, Hive, Pig, and data warehousing.
⢠Data Ethics and Privacy: Ethical considerations in data science, data privacy, and ethical use of AI and machine learning.
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