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Business Analytics In Python: Mastering Data-Driven Insights
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 17.17 GB | Duration: 27h 37m​

Becoming a Business Analytics Practitioner

What you'll learn
Master Business Analytics Basics: Understand fundamental concepts and data-driven decision-making techniques.
Python Proficiency: Gain skills in Python for data analysis with key libraries like Pandas and NumPy.
Statistical Decision Making: Learn inferential statistics to support business insights.
Econometrics & Regression: Master econometric models and regression analysis for predicting outcomes.
Time-Series Analysis: Acquire forecasting skills using Python for economic and business trends.
Customer Segmentation: Analyze customer behavior and market segments for targeted strategies.
Cultivate a Data-Driven Mindset: Develop critical thinking for data interpretation and decision-making.
Real-World Data Practice: Apply business analytics techniques to industry-specific datasets.
High Academic Quality: Experience content and methods at the level of graduate classes in U.S. universities.
Career Preparation: Equip yourself for roles in business analytics with in-demand skills and knowledge.

Requirements
An understanding of Python programming at the most basic level. You should be comfortable with variables, basic data types, loops, and functions.
Willingness to Learn: Approach the course with enthusiasm for learning new analytical techniques and applying them to real-world business scenarios.

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