Bytes
Data ScienceMachine Learning

Data Science Tutorial 2024 - Learn Data Science for Free

8 Modules31 Lessons5274 Learners

This comprehensive data science tutorial will help you learn data science concepts, and fundamentals including statistics, programming, and machine learning.

Start LearningLast Updated: 17th April, 2024

Welcome to the world of Data Science. Here, we uncover hidden insights in data to guide smarter choices. Learn Data Science to open doors to endless opportunities. In today's data-driven era, turning information into valuable insights is a game-changer.

AlmaBetter’s Data Science Tutorial for Beginners is an introductory course that provides an overview of the field of data science which includes modules such as Machine Learning, Supervised Learning, Unsupervised Learning, MLOPS, Regression and many more deep concepts of data science.

AlamBetter Tutorials are the best platform to learn data science from scratch. Our free Data Science Tutorial is the best way to learn data science online as it provides you the freedom to learn at your own pace and enjoy the learning to the fullest.

Modules Explored in Our Data Science Tutorial:

  • Getting Started with Machine Learning
  • Data preparation and EDA
  • Supervised Learning
  • Regression
  • Classification
  • Non-Linear Model
  • Unsupervised Learning
  • MLOPS

Course Curriculum

Module 1Getting Started with Machine Learning

file-icon

Introduction to Machine Learning

file-icon

Types of Machine Learning Model

file-icon

Applications of Machine Learning

Module 2Data preparation and EDA

file-icon

Data Cleaning in Data Science

file-icon

Data Normalization in Machine Learning

file-icon

Introduction to Exploratory Data Analysis (EDA)

file-icon

Feature Engineering for Machine Learning

Module 3Supervised Learning

file-icon

Introduction to Supervised Learning

file-icon

Regression in Machine Learning

file-icon

Classification in Data Science

Module 4Regression

file-icon

Linear Regression in Machine learning

file-icon

Understanding Bias Variance Tradeoff

file-icon

Regularization in Machine Learning

file-icon

Metrics to Measure Regression Models

Module 5Classification

file-icon

Logistic Regression in Machine Learning

file-icon

Decision Tree in Machine Learning

file-icon

Ensembles of Decision Trees

file-icon

Random Forest Algorithm in Machine Learning

file-icon

AdaBoost Algorithm in Machine Learning

file-icon

Gradient Boosting Algorithm for Machine Learning

file-icon

XGBoost Algorithm in Machine Learning

file-icon

Metrics for Classification Model

Module 6Non-Linear Model

file-icon

K-Nearest Neighbors(KNN)

file-icon

Support Vector Machines (SVMs)

file-icon

Naive Bayes Classifier

Module 7Unsupervised Learning

file-icon

What is Unsupervised Learning?

file-icon

K-means Clustering

file-icon

Hierarchical Clustering in Machine Learning

file-icon

Metrics for Unsupervised Learning

Module 8MLOPS

file-icon

What is MLOPS?

file-icon

Stakeholders and Terminologies Used in MLOPS

Summary

Written by Industry ExpertsSelf-paced Learning with Unlimited AccessEarn a Certificate Upon Compeletition


Top Tutorials

Related Articles

AlmaBetter
Made with heartin Bengaluru, India
  • Official Address
  • 4th floor, 133/2, Janardhan Towers, Residency Road, Bengaluru, Karnataka, 560025
  • Communication Address
  • 4th floor, 315 Work Avenue, Siddhivinayak Tower, 152, 1st Cross Rd., 1st Block, Koramangala, Bengaluru, Karnataka, 560034
  • Follow Us
  • facebookinstagramlinkedintwitteryoutubetelegram

© 2024 AlmaBetter