Fife College’s Post

With the holidays approaching, I have chosen to enroll in an intensive course on Business Intelligence. As a data science student, having solid technical skills is essential, but business knowledge is equally important. Understanding customer needs allows for purposeful extraction of valuable insights from data.

If you're starting a Master's of Science program in data analytics how would you prepare? Well, like always, the answer is: depends! 🙄 😅 The 2nd video on my series about Eastern University's MS in Data Analytics reviews the catalog description of the first two courses I'll be taking in the program and my interpretation/strategy for prepping. In the future, you'll get a follow up video explaining how accurate I was with my prep or what terrible waste of time it was 😭 Let's hope for the former!

After a 12-week intensive journey, I am proud to have completed the Certificate in Data Science and Artificial Intelligence with the Institute of Data. Here is a copy of my capstone project's presentation if you're interested.

Data Science Event: Enhancing Skills and Knowledge I recently attended a data science event, where I had the opportunity to expand my skills and knowledge in the field. Certificate of Participation: I successfully completed the event and received a certificate, demonstrating my proficiency in data science.

Data Science Event: Enhancing Skills and Knowledge I recently attended a data science event, where I had the opportunity to expand my skills and knowledge in the field. Certificate of Participation: I successfully completed the event and received a certificate, demonstrating my proficiency in data science.

When you earn this digital badge, you'll be a step closer to starting your career in: 📈Data Analytics ⚙️Data Engineering 💻Data Science Check out the course! http://cs.co/6042eHp8M

🚀 2 months in, and I’ve just completed my first module in Data Science – Excel! Learning Excel has been an incredible experience of blending real-world business knowledge with technical concepts to drive business growth. Here’s what stood out to me: 🔍 Diverse Solutions: It’s fascinating how one tool can help you uncover insights and create solutions tailored to various business challenges. 🔗 Connecting the Dots: Seeing the bigger picture through data has been both challenging and rewarding. It’s more than just numbers – it’s about making data work for business strategy. ✨ I’m excited to dive into the next module and explore more about data science. It’s all about leveling up and staying relevant in today’s fast-paced world! What’s a skill you’ve picked up recently that’s had a big impact on your work? Let’s share and learn together! 💬

Brand-new Society Hub! Durham University Data Science Society aims to facilitate the education of data science skills to its members through the use of workshops and lectures led by professionals and academics. Find out more: https://ow.ly/pWIY50Unjxe

Just finished the course “15 Mistakes to Avoid in Data Science” by Madecraft, Sam Cvetkovski, Lacey Westphal, Louis Tremblay, and Sara Anstey! Check it out: https://lnkd.in/dgSxct_i #techcareerskills #datascience.

Just finished the course “15 Mistakes to Avoid in Data Science” by Madecraft, Sam Cvetkovski, Lacey Westphal, Louis Tremblay, and Sara Anstey! Check it out: https://lnkd.in/enNTaQNW #techcareerskills #datascience.