Global Certificate in Data Science for Predictions

Name: 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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AboutThisCourse

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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CourseDetails

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

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
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BasicComputerSkills
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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN DATA SCIENCE FOR PREDICTIONS

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London School of International Business (LSIB)

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05 May 2025

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