Jose Mary 
Forecasting Models & Time Series Analysis for Business in R Coupon Code. Time Series Analysis for Data Science & Analytics in R programming. Demand Planning & Forecasting. Prophet, ARIMA & more
Forecasting Models & Time Series Analysis for Business in R
Forecasting Models & Time Series Analysis for Business in R Course. Welcome to the most exciting online course about Forecasting Models and Time Series in R. I will show everything you need to know to understand the now and predict the future. Forecasting is always sexy – knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!
What you’ll learn
- Gain a comprehensive understanding of time series analysis and forecasting models through hands-on practice and real-world applications
- Implement forecasting models and time series analysis in a business environment to improve performance and efficiency.
- Understand and apply various forecasting models, including Prophet and ARIMA, to make informed business decisions.
- Apply data science and analytics principles to real-world business scenarios through hands-on practice in R.
- Develop proficiency in using R programming for time series analysis in business settings.
- Improve demand planning and forecasting abilities by utilizing time series analysis techniques.
- Learn to analyze and interpret time series data to make predictions about future trends and patterns.
- Utilize R programming to create visualizations and data visualizations to better understand time series data.
- Understand the importance of forecasting models in business operations and decision-making.
- Learn to identify and diagnose common problems and limitations in time series analysis.
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Master Time Series Analysis and Forecasting with Python 2025 Coupon Code
Master Time Series Analysis and Forecasting with Python 2025
Master Time Series Analysis and Forecasting with Python 2025 Course. Welcome to the most exciting online course about Forecasting Models in Python. I will show everything you need to know to understand the now and predict the future. Forecasting is always sexy – knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!
Econometrics and Statistics for Business in R & Python Coupon Code
Econometrics and Statistics for Business in R & Python
Econometrics and Statistics for Business in R & Python Course. Econometrics has horrible fame. The complex theorems, combined with boring classes where it feels like you are learning Greek, give every student nightmares. This course stays away from that. It will focus on (1) giving you the intuition and tools to apply the techniques learned, (2) making sure everything that you learn is actionable in your career, and (3) offer you a tool kit of peer-reviewed econometric causal inference techniques that will make you stand out and give you the ability to answer the tough questions.
Who this course is for:
- Business and data analysts looking into learning about Forecasting
- Finance professionals wanting to modernize their forecasting proccesses
- General data-driven professionals who would like to learn about Forecasting
- Marketing experts interested in finding patterns in sales data
Instructor
Diogo Alves de Resende – Diogo is a data analytics and business analytics professional with years of experience in the field. He has expertise in various methodologies, including time series forecasting for predicting sales trends, econometrics for analyzing economic data, and machine learning for optimizing marketing campaigns.
His background includes working for a major e-commerce company, where he used these techniques to drive business growth, and collaborating with the United Nations on a Mobile Money project in Lesotho, where he helped increase financial inclusion in the country.
In his courses, Diogo aims to provide practical and applicable knowledge through real-life examples and datasets. For example, he often uses case studies from his own work experiences to illustrate key concepts and demonstrate their relevance in the professional world. His goal is to equip students with the skills and tools necessary to succeed in their own careers in data science.
