Global Certificate in Data Science for Predictions

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The Global Certificate in Data Science for Predictions is a comprehensive course that equips learners with essential data science skills in high demand by industries worldwide. This certificate program emphasizes predictive modeling, a crucial aspect of data science, and covers key topics including machine learning, statistical analysis, and data visualization.

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By completing this course, learners will be able to utilize various data science tools and techniques to analyze complex datasets and make accurate predictions, thereby driving data-driven decision making in their organizations. The course not only focuses on the technical aspects of data science but also covers critical thinking, problem-solving, and communication skills, making learners well-rounded data science professionals. In today's data-driven world, data science skills are increasingly important for career advancement in various industries, including finance, healthcare, marketing, and technology. Completing this certificate course will provide learners with a competitive edge and open up exciting new career opportunities, such as data analyst, data scientist, and business intelligence analyst.

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โ€ข Data Exploration and Preprocessing: Data cleaning, data wrangling, data visualization, exploratory data analysis
โ€ข Statistical Methods for Data Science: Descriptive statistics, inferential statistics, probability distributions, hypothesis testing
โ€ข Machine Learning Fundamentals: Supervised learning, unsupervised learning, reinforcement learning, model evaluation
โ€ข Predictive Modeling with Regression Analysis: Linear regression, logistic regression, polynomial regression, regularization techniques
โ€ข Classification Techniques in Machine Learning: Decision trees, random forests, support vector machines, k-nearest neighbors
โ€ข Deep Learning and Neural Networks: Artificial neural networks, convolutional neural networks, recurrent neural networks, deep learning frameworks
โ€ข Time Series Analysis and Forecasting: Autoregressive models, moving average models, exponential smoothing, ARIMA, prophet
โ€ข Natural Language Processing: Text preprocessing, sentiment analysis, topic modeling, word embeddings, NLP libraries
โ€ข Big Data Analytics: Distributed computing, Hadoop, Spark, data lakes, big data ecosystems

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN DATA SCIENCE FOR PREDICTIONS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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