Global Certificate in Advanced Telecom Data Analytics
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⢠Data Analytics Fundamentals: Introduction to data analytics, data types, data sources, data pre-processing, data cleaning, and data visualization.
⢠Telecom Data Analytics: Overview of telecom data analytics, data sources in telecom industry, data pre-processing techniques for telecom data, and data visualization for telecom data.
⢠Statistical Analysis and Machine Learning: Introduction to statistical analysis, machine learning, supervised learning, unsupervised learning, and reinforcement learning.
⢠Big Data Analytics: Big data analytics, Hadoop, Spark, data warehousing, and data lakes.
⢠Telecom Network Analytics: Telecom network analytics, network performance analysis, network planning and optimization, and network security analysis.
⢠Customer Analytics in Telecom: Customer analytics, customer segmentation, churn prediction, customer lifetime value analysis, and customer experience analysis.
⢠Telecom Fraud Detection and Prevention: Fraud detection, fraud prevention, fraud management, and fraud analytics in telecom industry.
⢠Data Privacy and Security in Telecom: Data privacy, data security, GDPR, CCPA, and other data protection regulations in telecom industry.
⢠Telecom Data Analytics Tools and Software: Overview of data analytics tools and software used in telecom industry, including SAS, R, Python, Tableau, and Power BI.
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