𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: https://bit.ly/3OXa7nZ
Edureka brings you the unique opportunity to master the art of data-driven decision-making through this carefully designed course from University of Cambridge Online.

Understand big data, user-driven events, data science techniques, and machine learning to inform successful product feature development and strategic business solutions. With hands-on experience using BigQuery and Colab notebook, you'll learn to recognise business problems, obtain and analyse data, and develop solutions that achieve business and financial success through that data.

Please write back to us at [email protected] or call us at IND: +𝟗𝟏𝟖𝟗𝟓𝟏𝟕𝟓𝟓𝟒𝟏𝟎 for more information.

𝐀𝐛𝐨𝐮𝐭 𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐨𝐮𝐫𝐬𝐞

Making data-driven decisions to stay ahead of the curve is imperative to the success of any business. In this course, you will learn how to understand big data, user-driven events, data science techniques and machine learning and apply this in order to inform successful product feature development and strategic business solutions.

This course takes a practical approach using BigQuery and Colab notebook to identify how you can recognise business problems, obtain data as the building blocks of problem-solving, and how to use data science techniques to help understand, build and validate possible solutions. You will be able to apply your learning immediately in the workplace, making proactive changes that secure strategic and financial success based on real data.

𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐂𝐚𝐦𝐛𝐫𝐢𝐝𝐠𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧

After successful completion of Leveraging Big Data for Business Intelligence course, you will receive an industry recognised certificate of achievement from University of Cambridge Online.

𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐂𝐚𝐦𝐛𝐫𝐢𝐝𝐠𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 - 𝐂𝐨𝐮𝐫𝐬𝐞 𝐋𝐞𝐚𝐝

Dr. Russell Hunter
Senior Teaching Associate (Online Education and Web Technology), Department of Engineering, University of Cambridge

"Dr. Russell Hunter completed his studies in Mathematics with Computer Science at the University of Stirling and obtained a PhD in Computational Neuroscience researching storage and recall in biologically plausible neural networks. He has recently switched to industry currently working as a technical lead developing websites, apps, serverless architectures and applying machine learning models after spending 8 years as a postdoctoral researcher at the University of Cambridge developing large-scale novel educational apps to help improve problem-solving in prospective undergraduate engineers. Russell has had a varied career with research involving software engineering, image processing and edtech whilst lecturing Computer Science."

𝐂𝐨𝐮𝐫𝐬𝐞 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬

By the end of the course, you will be able to:

1. Communicate data-driven decisions with authority to key stakeholders.
2. Determine the main components of Big Data, Data Science and Machine Learning and how they work in a practical web tech environment.
3. Undertake data analysis, data cleansing and data visualisation for data-driven product development to resolve strategic business issues.
4. Interpret what the tools are telling you in terms of data trends and how to modify your approach.
5. Strategically apply a range of data tools and methods to analyse and resolve common business issues.

University of Cambridge Online Certifications: https://bit.ly/3RSNTXi

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