Application of Data Science for Data Scientists | AIML TM

Mastering Real-World Data Science Applications and Techniques for Advanced Problem Solving
Udemy
platform
English
language
Other
category
Application of Data Science for Data Scientists | AIML TM
2
students
8.5 hours
content
Sep 2024
last update
$19.99
regular price

What you will learn

Students will learn the fundamentals of Data Science and its applications across various industries.

Students will explore key algorithms and perform exploratory data analysis (EDA).

Students will learn about the roles, skills, and responsibilities of a Data Scientist.

Students will dive into advanced techniques and practical applications used by Data Scientists.

Students will learn the stages of the Data Science process, from problem definition to data collection.

Students will explore model building, evaluation, deployment, and post-deployment strategies.

Students will apply Data Science concepts to solve a real-world case study from start to finish.

Students will learn how to ensure data quality and make their models interpretable.

Students will explore the ethical considerations and responsibilities involved in Data Science.

Students will examine the ethical dilemmas surrounding data collection, privacy, and bias.

Students will understand how to manage and execute a Data Science project from planning to reporting.

Students will learn techniques for selecting and engineering relevant features to improve model performance.

Students will explore how to implement and scale Data Science solutions in real-world applications.

Students will master data wrangling and manipulation techniques to efficiently handle large datasets.

Screenshots

Application of Data Science for Data Scientists | AIML TM - Screenshot_01Application of Data Science for Data Scientists | AIML TM - Screenshot_02Application of Data Science for Data Scientists | AIML TM - Screenshot_03Application of Data Science for Data Scientists | AIML TM - Screenshot_04
6196737
udemy ID
9/21/2024
course created date
9/29/2024
course indexed date
GiantWizardEngineer
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