Data Science Fundamentals For Beginners

Name: Data Science Fundamentals For Beginners
Rating: 3.9 (147 reviews)

VIEH Group

Created byVIEH Group

Last updated 3/2020

English

English [Auto],

What you'll learn

Basics of Data Science
How to use Data Science
Understanding Machine Learning Vs Data Science
Data Science Workflow
Machine Learning Workflow
Understanding Data
Data Science Jobs and Skillsets
Components of Data Science
Machine Learning
Clustering
Classification
Regression
Anomaly
Data Preparation
Data Cleaning
Data Exploration
Data Visualization
Statistics
Predictions Models
Deep Learning
Neural Networks
Supervised Vs Unsupervised Learning

Course content

3 sections • 15 lectures • 1h 23m total length

Introduction to Data Science2:15
Introduce data science fundamentals for beginners, defining data science and its workflow, and clarifying its relation to machine learning, tools, and core components.
Who are Data Scientist and What is Data Science3:24
Explore the definitions of data science as a process to extract knowledge and insights from data, and learn about structured, unstructured, and semi-structured data with examples.
Why and Where to use Data Science4:47
Discover why and where data science matters as vast raw data becomes unstructured, enabling Google, Netflix, and Amazon to deliver personalized experiences, ads, and even predictions like self-driving cars.
Machine Learning VS Data Science5:47
Understand the difference between data science and machine learning: data science uses structured to unstructured data with visualization and data preparation, while machine learning develops algorithms from trained data.
Data Science Workflow9:39
Explore the data science workflow, from gathering and extracting raw data to cleaning, analyzing, and training models that generate predictions and recommendations.
Data Science Lifecycle4:52
Master the data science lifecycle from requirements and data acquisition to processing, exploration, modeling, and deployment, including data cleaning, training/testing, and model evaluation.
What is Data4:55
Define data as sets of characters or numbers gathered for analysis, and explore qualitative and quantitative data, including nominal, ordinal, discrete, and continuous types, and visualization with graphs.
Components of Data Science2:33
Explore the fundamental components of data science, including statistics, domain expertise, data engineering with metadata, visualization, advanced computing, mathematics, and machine learning.

Machine Learning5:09
Explore machine learning, a subset of artificial intelligence that learns from experience and improves without explicit programming. Discover how data, algorithms, and models train and test predictive insights.
Machine Learning Process7:34
Define the objective, collect and prepare data, explore patterns, build and evaluate a machine learning model, and make predictions using training/testing splits and algorithms like logistic regression.
Supervised and Unsupervised Learning8:14
Explore supervised learning, which uses labeled data to map inputs to outputs and predict unseen results, and unsupervised learning, which finds patterns and forms clusters in unlabeled data.
Machine Learning Algorithms4:59
Explore key machine learning algorithms, including clustering, regression, classification, and anomaly detection, and learn how to choose the right approach for different data science projects.
Deep Learning7:42
Deep learning, a subset of machine learning inspired by neural networks, learns features automatically from large data and enables end-to-end tasks like image recognition and object detection.

Requirements

Smartphone or PC or MAC with internet connection
A desire to learn Data Science
No Prior Knowledge of Data Science

Description

Complete Data Science Fundamental Course for Beginners

First of all this is complete Data Science Fundamental Course. If you looking to begin with Data Science then this the perfect choice ever.

HERE IS WHY YOU SHOULD TAKE THE COURSE

The course is complete for beginners.

That means by completing this course I guarantee you that you will learn all the complex Data Science Components and Machine Learning Algorithms in a easy and Understandable way.

In this age of big data, companies across the globe are generating lots and lots of data. This makes Data Science a trending topic. Data Science is one of the most promising technology right now. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Most of the businesses today are using Data Science to add value to their business operations and increase customer satisfaction and retention. And, so there is substantial increase in the demand for Data Scientists who are skilled in Data Science and related technologies.

And, this is the right time to start learning Data Science.

Who this course is for:

Students who want to learn Data Science
Beginners who want to learn the Fundamentals of Data Science
Those who want to build career as Data Scientist
Data Analyst or Data Scientist to revise the Fundamentals

Data Science Fundamentals For Beginners

What you'll learn

Explore related topics

Course content

Data Science Fundamentals8 lectures • 38min

Machine Learning5 lectures • 34min

Miscellaneous Lectures and Information2 lectures • 12min

Requirements

Description

Who this course is for: