Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.
The task-based structure covers multiple departments, providing exposure to various modeling needs from HR attrition to production defect detection.
Instruction spans several methodologies, including time series forecasting with Prophet and image segmentation using ResUnet.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This Forbes article highlights Data Scientist as the top job in America for 2019, citing high satisfaction and salary data from Glassdoor.
The presenter discusses optimizing model architecture and hyperparameters as part of the Data Science for Business course, shown on screen behind him.
An instructor discusses business applications of data science while a graphic highlights the topic of optimizing marketing strategies.
The presenter introduces a case study focused on analyzing customer reviews on social media to predict sentiment using data science techniques.
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One signal indicates missing image files in the Section 7 dataset, while another suggests a missing component in the Marketing case study.
A report suggests that current software versions may have changed syntax, making the provided code difficult to implement without adjustments.
The curriculum aligns with the goal of applying data science to business departments.
