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Time Series Analysis | Time Series Forecasting | Time Series Analysis in R | Ph.D. (Stanford)

Автор: Great Learning

Загружено: 2020-01-09

Просмотров: 360185

Описание:

Unlock the full Time Series Analysis Pro Course here:
https://bit.ly/master-artificial-inte...

Course Introduction / Overview
Mastering Time Series Analysis is essential for every aspiring Data Scientist. In this comprehensive course, led by Dr. Abhinanda Sarkar (Academic Director, Great Learning), you’ll dive into everything you need to excel at Time Series Forecasting. Using Python and the latest data science tools, you will work through practical, hands-on projects and real-world datasets. Whether you are a student, professional, or looking for a career change, this pro course equips you with knowledge and applied skills crucial for high-demand roles in Data Science and Machine Learning.

How Time Series Analysis Works / Why It’s Important
Time Series Analysis allows you to predict future trends based on historical data—one of the core techniques in data-driven industries. From banking and retail sales forecasting to stock market and weather predictions, time series models power critical decisions in companies worldwide. Mastering these methods will set you apart in today’s competitive job market, with average salaries reaching ₹18 LPA in India and $110K in the US for skilled professionals.

What You’ll Learn
By completing the Time Series Analysis Pro Course, you’ll gain:

Expert knowledge in Time Series Forecasting fundamentals
Insight into the components of time series data
Skills to build and differentiate between Additive and Multiplicative Models
Techniques to measure and improve forecast accuracy
Mastery of Exponential Smoothing and real-world data science applications
Practical skills for implementing complex models using Python
Topics Covered / Agenda
🏁 Here’s your learning roadmap—jump right in!

[00:00:00] Introduction
[00:06:18] Types of Statistics
[00:21:12] What is Time Series Forecasting?
[00:55:23] Components of Time Series
[01:16:48] Additive Model and Multiplicative Model in Time Series
[03:04:55] Measures of Forecast Accuracy
[03:47:50] Exponential Smoothing

Further Learning / Programs
Expand your expertise with more free and paid programs:

Time Series Analysis in R (Free): https://bit.ly/TimeSeriesAnalysisR
Basics of Time Series in Data Science (Free): https://bit.ly/TimeSeriesinDataScience
Multivariate Time Series Forecasting in R (Free): https://bit.ly/MultivariateTimeSeries...
Time Series Analysis Stock Market Prediction Python (Free): https://bit.ly/TimeSeriesAnalysisStock
What is Forecasting? (Free): https://bit.ly/ForecastinginDataScience
PG Program in AI & Machine Learning (Paid): https://bit.ly/PGAIMachineLearning
Artificial Intelligence for Leaders (Paid): https://bit.ly/PGAIforBusinessLeader
No Code AI and Machine Learning (Paid): https://bit.ly/PGNCAI

Why Watch This Video / Learn This
Time Series is foundational for anyone pursuing analytics, forecasting, or machine learning. By watching this course, you’ll not only understand the models behind the insights but also develop practical, hands-on skills to build forecasting solutions that have a real impact. Don’t just learn—start applying these concepts to your own projects today!

Perfect For / Target Audience
✅ Aspiring Data Scientists
✅ AI & ML Enthusiasts
✅ Analytics & Business Professionals
✅ Students & Career Switchers

Social Media / Follow For Updates
Stay connected for the latest courses & updates:

Telegram: https://bit.ly/Gl-Telegram
Facebook: https://bit.ly/Gl-FB
LinkedIn: https://bit.ly/GL-linkedin
Blog: https://glacad.me/GL_Blog
WhatsApp: https://bit.ly/GL-academy-whatsapp

Time Series Analysis | Time Series Forecasting | Time Series Analysis in R | Ph.D. (Stanford)

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