[Update Links] Business and Data Analytics in Python

Business and Data Analytics in Python | Udemy [Update 03/2024]
English | Size: 16.6 GB
Genre: eLearning

Mastering Data-Driven Insights and become 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.

Course Description:

Welcome to “Business Analytics in Python: Mastering Data-Driven Insights,” where you embark on a transformative journey to unravel the complexities of business analytics using Python. This course is meticulously designed to equip you with the knowledge, skills, and practical experience needed to excel in the fast-evolving world of business analytics.

What You Will Learn:

Fundamental principles of business and data analytics and their application in real-world scenarios.

Hands-on proficiency in Python for data collection, manipulation, analysis, and visualization.

Advanced statistical methods for insightful data analysis and decision-making.

Techniques in forecasting, regression, and econometrics to predict market trends and business performance.

Understand how to use time series analysis to predict future performance, including challenging time series like stock prices.

Practical application of the Meta Prophet model, understanding its components, parameter estimation, and forecasting capabilities.

Powerful causal inference tools like the Difference in Difference framework and Google Causal Impact model

Essentials of Markov Models, exploring their significance in predictive analytics.

Course Features:

Comprehensive video lectures that blend theoretical knowledge with practical applications.

Interactive Python notebooks and real-world datasets for hands-on learning in Google Colab.

Case studies and examples from various industries to illustrate the impact of business analytics.

Quizzes and exercises to reinforce learning and apply concepts.

Who Should Enroll:

Aspiring data analysts and business professionals looking to leverage data for strategic decision-making.

IT professionals and software developers aiming to pivot or advance in the field of business analytics.

Entrepreneurs and business owners seeking to understand and apply data analytics for business growth.

Anybody desiring a practical, hands-on approach to learning business analytics.

Prerequisites:

Basic understanding of Python programming.

Curiosity and willingness to dive into the data-driven world of business analytics.

Go ahead and watch the many preview videos available to peek into most learning modules and see what you will learn.

Embark on this journey with “Business Analytics in Python: Mastering Data-Driven Insights” and transform your ability to analyze, predict, and make informed business decisions using the power of data analytics.

Who this course is for:
Aspiring Data Analysts and Business Analysts: Beginners or those transitioning from other fields who want to build a career in data analytics or business analytics.
Professionals in Business and Finance: Individuals in business, finance, marketing, or related fields seeking to enhance their decision-making with data-driven insights.
Entrepreneurs and Small Business Owners: Those looking to leverage data to make informed decisions, understand market trends, and drive business growth.
Business Managers in Analytical Departments: Managers and supervisors looking to deepen their analytical capabilities to drive decision-making and strategy.
Students in Business, Economics, or IT: Undergraduates or postgraduates desiring to enhance their academic knowledge with practical analytics and Python skills.
IT Professionals and Software Developers: Those looking to expand their skills into business analytics to support data-driven projects or transition into analytics roles.
Curious Learners: Anyone interested in applying Python to tackle real-world business challenges and to inform decisions with data.

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[Update Links] Business and Data Analytics in Python | Udemy

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