Introduction to Data Analytics
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Author: AIAT
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Level: Beginner
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Study time: 4 Weeks
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Course overview
This self-paced, online course is designed for beginners who want to gain a foundational understanding of data analytics. Over the span of four weeks, you will explore key concepts and techniques used in data analysis, from understanding basic data types to using popular tools for analysis. The course includes practical examples and exercises to ensure that you can apply data analytics principles in real-world scenarios. By the end of the course, you will be able to analyse and interpret data, clean data sets, and make informed decisions based on data-driven insights.
Unlock your career's potential with an industry-recognized professional qualification certificate
How data analytics drives career growth
High Demand and Career Opportunities
Data analytics skills are in high demand across industries such as finance, healthcare, retail, and technology. Companies rely on data-driven decisions, making analysts a crucial part of the workforce. The growing emphasis on big data and AI has led to a surge in job opportunities with competitive salaries.
Improved Decision-Making
Data analytics enables individuals and organizations to make informed decisions by analysing patterns, trends, and insights. Learning data analytics helps in turning raw data into actionable insights, allowing for more accurate forecasting, strategic planning, and problem-solving.
Enhanced Business Performance
Data-driven strategies can optimize processes, increase efficiency, and reduce costs. Analytics provides tools to identify performance bottlenecks, market trends, customer preferences, and potential risks, leading to better operational efficiency and business growth.
Personal and Professional Growth
Mastering data analytics can significantly boost your analytical thinking, problem-solving skills, and decision-making ability. On a personal level, these skills can enhance your cognitive abilities, while professionally, they make you more versatile and valuable in any role involving data, helping you stay competitive in the job market.
A short online course for busy professionals
Our Facilitator
Gjoko Muratovski
Prof. Gjoko Muratovski is the Provost and Chief Academic Officer of the Australian Institute of Advanced Technologies (AIAT).
Prof. Muratovski has more than 25 years of experience working and collaborating with Fortune 500 companies, NGOs, and governments from around the world, including the US Federal Government, Australian State Governments, NASA, International Space Station (ISS), World Health Organization, UNESCO, Greenpeace, Johnson & Johnson, TATA, P&G, Toyota, Ford, General Motors, Fiat Chrysler Automobiles, Amazon, and Facebook.
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Course Structure
Frequently asked questions
How much time do I need to commit to this course?
This is a self-paced course, so you have the flexibility to structure your time. We recommend dedicating up to 10 hours per week, but you can adjust this to fit your schedule.
Does this course required any technical skills?
No, this is a theoretical course, therefore no tecnhical skills are required. However, this course will include plenty of practical examples and excercices.
Will I receive a Professional Qualification certificate?
Yes! To receive a certificate, you must complete all the assignments. Once you've successfully finished everything, you’ll be awarded a certificate that showcases your achievements.
Are there any prerequisites for this course?
No. This course is for beginners. Anyone can take this course.
What's included?
Become a Data Analyst
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Certified Course
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4 Modules
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11 Lessons
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32 Questions
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55 Practical Tips
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16 Real-World Examples
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