Statistics reveal that a significant 80% of the data science community is eager for content showcasing real-world applications. Topics in high demand include using time series forecasting to pinpoint optimal locations for hydro power plants. Another popular subject is developing key performance indicator (KPI) metrics to monitor product or business health. Additionally, there’s interest in modeling customer lifetime value (CLV) for B2B businesses, particularly those where revenue is concentrated among a few accounts. Other sought-after topics include applying quasi-experiments to assess marketing campaign impacts, prioritizing various generative AI opportunities, and detecting survey fraud through mouse movement analysis. These statistics highlight the community’s desire for practical, applicable data science insights.
Databricks
@databricks
·
Apr 14 Databricks Apps provides tools for developers to build internal apps leveraging data, models, and governance already existing on Databricks without the need to manage a separate infrastructure.The response from the developer community was overwhelming.Top use cases we’ve
Sachin Chandrashekhar
@AWSCloudSachin
·
7h Why will #data engineering be always in demand?Remember the buzz word – 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – 𝐬𝐞𝐱𝐢𝐞𝐬𝐭 𝐣𝐨𝐛 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐞𝐧𝐭𝐮𝐫𝐲?Do you still believe it is?I think it’s time organizations have realized that no data science can be done without Data
UCU Computing, Engineering, Data Science, Robotics
@ucu_ComputEng
·
Mar 9 Apply for a degree in Data Science and Analytics at
@UCUniversity
http://application.ucu.ac.ug
Why a Data Science Degree?High demand (AI, ML, Analytics)
Lucrative salaries
Work in ANY industry (tech, finance, healthcare, etc..)
Problem-solving &
Arsh Goyal
@arsh_goyal
·
Apr 14 7. Accelerating End-to-End Data Science WorkflowsData science is about using scientific methods, processes, algorithms, and systems to analyze and extract insights from data. It empowers organizations to turn data into a valuable resource, leading to smarter decision-making,
Gabby
@thenaijacarguy
·
Apr 7 If you’re interested in starting a career in any of the following fields ASAP:– Data Analytics
– Data Science
– Data Engineering
– Cloud Computing
– SalesforceFill out this form and start your journey today: http://datafrik.co/form. A mentor will be assigned to you to hold
Splendor of SQL
@iam_Uchenna
·
Apr 17 An open-source Data Science repository to learn and apply towards solving real world problems.This is a shortcut path to start studying Data Science.Find everything you need here: https://github.com/academic/awesome-datascience…
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