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Data Analytics
Duration: 12 weeks
Start Date: October 14, 2023
Cost: £1,100
Class Capacity: 15
Course Description
Training aims at helping learners develop a strong skillset including Descriptive statistics, Data architecture strategies, Business analytics, Data visualization and other skills to excel in this field.
What Students Will Gain:
Students can gain a wide range of valuable skills and knowledge from a data analytics course. Here are some of the key benefits and takeaways that students can expect.
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Data Handling Skills: Students will learn how to collect, clean, and manage data effectively. This includes understanding data formats, data storage, and data preprocessing techniques.
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Statistical Analysis: They will gain proficiency in statistical methods and tools, enabling them to analyze data to identify patterns, trends, and insights.
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Data Visualization: Students will learn how to create compelling visualizations to represent data findings. This skill is crucial for effectively communicating insights to stakeholders.
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Programming and Tools: Many data analytics courses teach programming languages like Python as well as how to use popular data analytics tools such as Excel or specialized libraries like Pandas and Matplotlib.
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Business Intelligence: Understanding how data analytics can be applied to business scenarios is often a key component. This includes using data to make informed decisions, optimize processes, and gain a competitive advantage.
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Problem-Solving Skills: Data analytics courses often emphasize critical thinking and problem-solving. Students learn how to formulate research questions, design experiments, and solve real-world problems using data.
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Data Literacy: Students will develop a high level of data literacy, which is essential in an increasingly data-driven world. They will be better equipped to understand and critically evaluate data-related information in various contexts.
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Continuous Learning: Data analytics is a dynamic field, and students will be encouraged to stay updated with the latest tools and techniques. This cultivates a mindset of continuous learning and adaptation.
In summary, a data analytics course equips students with the technical skills, analytical thinking abilities, and practical knowledge needed to work with data effectively and make data-driven decisions.
Where Students Can Apply Their Knowledge:
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Healthcare
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Business and Finance
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Technology
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Energy
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Consulting
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Freelancing and Entrepreneurship
Course Modules:
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Module 1: SQL
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Module 2: Python
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Module 3:Statuistics and Probability
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Module 4: Business Problem Solving, Insights and Storytelling
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Module 5: Visualizations using PowerBI
Prerequisites: Knowledge of mathematics and proficiency in basic computer skills.
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Please contact our us for payment plan
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