Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
Statistics and Python for Telecommunication: Using Data Analytics for Decision-Making in Modern Telecommunications
Released: 07/2025
Duration: 2h 11m 18s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 295.05 MB
Genre: eLearning | Language: English
Released: 07/2025
Duration: 2h 11m 18s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 295.05 MB
Genre: eLearning | Language: English
This course provides a comprehensive exploration of how statistical methods and data analytics drive decision-making in modern telecommunications. Designed for students and professionals with basic knowledge of telecom or data analysis, it bridges statistical theory with practical applications to optimize networks, enhance customer insights, and improve operational efficiency. Master foundational to advanced statistical concepts, and apply them to real-world telecom challenges. Explore essential techniques like central tendency and dispersion analysis, data visualization, and predictive modeling using tools like Python and Excel. Dive into regression analysis and gain hands-on experience in interpreting telecom datasets, mitigating biases, and communicating data-driven insights effectively. By the end of the course, you will be equipped to harness statistical analytics for smarter telecom strategies.
More Info