Executive Development Programme in Data Science for Automation
-- ViewingNowThe Executive Development Programme in Data Science for Automation is a certificate course designed to empower professionals with essential data science skills for automation. This programme is crucial in today's data-driven world, where businesses are increasingly relying on automation to streamline operations and make informed decisions.
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⢠Fundamentals of Data Science: Introducing key concepts, including data acquisition, cleaning, and preparation. Covering data visualization, statistics, and machine learning fundamentals.
⢠Machine Learning Algorithms: Exploring various supervised and unsupervised learning techniques, such as linear regression, logistic regression, decision trees, random forests, support vector machines, and clustering algorithms.
⢠Python for Data Science: Mastering Python libraries for data analysis and machine learning, such as NumPy, pandas, matplotlib, seaborn, scikit-learn, and TensorFlow.
⢠Big Data Analytics: Understanding and managing large-scale datasets using tools like Hadoop, Spark, Hive, and Pig.
⢠Deep Learning for Automation: Diving into neural networks, convolutional neural networks, recurrent neural networks, and long short-term memory networks for automation applications.
⢠Data-Driven Decision Making: Analyzing business problems and using data-driven insights to make informed decisions, covering A/B testing, hypothesis testing, and predictive modeling.
⢠Data Ethics and Privacy: Addressing ethical considerations, including data privacy, security, and biases, and their implications for data science and automation.
⢠Natural Language Processing (NLP): Learning NLP techniques for text processing, sentiment analysis, and topic modeling, using libraries such as NLTK, spaCy, and Gensim.
⢠Data Engineering for Data Science: Developing data pipelines and managing data storage for efficient data science operations, including SQL, NoSQL, and cloud storage solutions.
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