Professional Certificate in Analytics Fundamentals: Essential Skills

Name: Professional Certificate in Analytics Fundamentals: Essential Skills
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The Professional Certificate in Analytics Fundamentals: Essential Skills is a comprehensive course designed to equip learners with critical data analysis skills in high demand across industries. This program covers fundamental concepts in data analysis, statistics, and data visualization using tools like Excel and Tableau.

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AboutThisCourse

By the end of this course, learners will be able to analyze data, draw actionable insights, and communicate findings effectively to drive business decisions. According to the Bureau of Labor Statistics, employment in computer and information technology occupations is projected to grow by 11% from 2019 to 2029, much faster than the average for all occupations. This course is an excellent opportunity for learners to gain essential skills and stay ahead in this competitive field. By completing this program, learners will be well-prepared to advance in their careers and take on new challenges in data analytics.

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CourseDetails

• Data Analysis Basics: Understanding Data, Data Types, Data Wrangling, Data Cleaning
• Descriptive Statistics: Measures of Central Tendency, Measures of Dispersion, Data Visualization
• Inferential Statistics: Hypothesis Testing, Confidence Intervals, Sampling Methods
• Exploratory Data Analysis (EDA): Data Discovery, Data Profiling, Hypothesis Testing
• Predictive Analytics: Regression Analysis, Machine Learning Fundamentals, Model Validation
• Data Storytelling: Communicating Analytics Results, Data Visualization Best Practices, Effective Reporting
• Data Ethics: Privacy, Bias, Transparency, Accountability
• Data Tools: Spreadsheets, SQL, Python, R

CareerPath

In the UK, the demand for skilled professionals in the analytics field is on the rise. Organizations across industries are recognizing the value of data-driven decision-making, leading to a surge in job opportunities and an increase in salary ranges for those with analytics fundamentals expertise. This section highlights essential skills and roles in the analytics industry, accompanied by a 3D pie chart visualizing the distribution of these roles. The 3D pie chart below showcases the industry relevance of four primary analytics roles: Data Analyst, Data Scientist, Business Intelligence Analyst, and Data Engineer. The percentages displayed in the chart represent the job market trends and skill demand for each role in the UK. The chart's transparent background and responsive design ensure an engaging and informative user experience. *Data Analyst*: 45%
Data Analysts gather, process, and interpret complex datasets to help organizations make informed decisions. They are responsible for cleaning data, performing statistical analyses, and presenting insights in a clear and actionable manner. *Data Scientist*: 30%
Data Scientists use machine learning, predictive modeling, and advanced analytics techniques to address complex business challenges and opportunities. They design algorithms, build predictive models, and help organizations leverage big data to improve decision-making. *Business Intelligence Analyst*: 15%
Business Intelligence Analysts focus on translating data into actionable insights to inform business strategy and operations. They design and maintain data reporting systems, perform trend analyses, and create visualizations to facilitate data understanding. *Data Engineer*: 10%
Data Engineers design, build, and maintain architectures that handle large-scale data processing. They are responsible for creating, testing, and maintaining data pipelines, ensuring data availability, and optimizing data flow for analytics and data science teams.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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PROFESSIONAL CERTIFICATE IN ANALYTICS FUNDAMENTALS: ESSENTIAL SKILLS

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London College of Foreign Trade (LCFT)

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05 May 2025

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