Few use Cases of Data science in telecom industry are,Fraud detection, Predictive analytics, Customer segmentation and Network Management and optimization. For more info: https://datamites.com/data-science-course-training-bangalore/

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Data Science – Applications and Use Cases
Part-3
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Data Science Courses

2. Analytical Methods in Traditional Analysis
➔ Classification
➔ Regression
➔ Accuracy in Prediction
➔ Error Sampling
Data Science Vs Traditional Analysis
Datamites Data Science Courses

3. Data Science Vs Traditional Analysis
Data Science Team Structure
➔ Mathematicians
➔ Statisticians
➔ Systems Engineers
➔ Developers
➔ System Engineers
Datamites Data Science Courses

4. Data Science Vs Traditional Analysis
Traditional Analysis Team Structure
➔ Statisticians
➔ Mathematicians
➔ Scientists
Datamites Data Science Courses

5. Data Science Vs Machine Learning
Data Science
➔ Explore many models
➔ Build and tune hybrids
➔ Understand empirical properties of models
➔ Develop/use tools that can handle
Machine Learning
➔ Development of newer models
➔ Tuning Hybrids
➔ Attempts to prove mathematical properties
➔ Empirical Prpoperties of the models
Datamites Data Science Courses

6. Data Science Vs Data Engineering
Data Science
Approach: Mostly focused on exploring facts.
Qualification: The more, the better.
Research: Having experience in research is important.
Presentation Skills: Data shown through presentation
helps in providing meaning.
Programming Skills: Helps in value addition
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