Deep Dive into Time Series Analysis Part:1
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Deep Dive into Time Series Analysis
Part:1 (Beginners)

  • Learn Foundations of Time Series Analysis
  • Learn how to analyse Time Series data using Python and Pandas library.
  • Learn math behind the various Time Series Analysis approaches

Created by Selva Prabhakaran

  • English

What you will learn

01

What is a Time Series, it's commercial importance

02

Why Every Data Scientist must know Time Series Analysis and Forecasting.

03

Econometric Time Series Data and its sources.

04

Data wrangling and must have visualization plots for Time Series Analysis

05

Types of Time Series
Patterns

06

How to decompose a Time Series into it's components and how to choose the right method.

07

Excel workout of Time series decomposition.

08

Fully worked out Python examples.

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

About the course

You will learn the following skills by the end of the course:

  • LightGBM
  • XGBoost Random
  • Forest Decision Tree
  • Logistic Regression
  • Hyperparameter
  • Tuning Feature Importance Confusion Matrix
  • ROC AUC
  • Concordance and Discordance
  • Precision Recall Curve
  • Capture Rates and Gains
  • Feature Engineering
  • Label Encoding
  • Frequency Encoding
  • Chi-Square test ANOVA test
  • Exploratory Data Analysis
  • Memory
  • Optimization
  • Data Preprocessing

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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