Data Science Notes PDF

Data Science Notes PDF What is Data Science?

Data science is the practice of applying statistical analysis, machine learning, data visualization, and programming for the purpose of understanding and interpreting real-world data. Data scientists work primarily with massive amounts of data known as "big data".

What is the purpose of data science?

Data science is a technique for evaluating, modelling, and utilising data in order to assist businesses in making better decisions. This aids in the visualization of data that is easily understood by business stakeholders in order to develop future roadmaps and trajectories. The data science team assists organizations in a variety of industries with real-world difficulties.

Techniques used in Data Science:Data science is a fast-growing field. For data science and machine learning, full-featured, end-to-end platforms have recently been developed and are widely used.

Data science is a fast-growing field. Explore the techniques and applications of data science in our interactive modules:-

Linear Regression: -

Linear regression is a data science technique used to analyze the relationship between variables. It is most commonly used to predict outcomes based on related data.

A linear strategy to modeling the relationship between a scalar answer and one or more explanatory factors is known as linear regression in statistics (also known as dependent and independent variables).

Logistic Regression: -

Logistic regression is a method for modeling binary outcomes in a dataset. It's used extensively in the field of data science and statistics.

Logistic regression models can be applied to text, images, or numerical data.

In statistics, the logistic model (also known as the logit model) is used to model the likelihood of a given class or event, such as pass/fail, win/lose, alive/dead, or healthy/sick, existing.

Decision Tree

It is a type of machine learning, is a method of classification or prediction, where a model is created based on identifying patterns in the training data or observations.

Based on the observation attributes, the decision tree structure can be used to build rules that categorize or predict target/class/label variables.

Support-Vector Machine (SVM)

Support vector machines (SVMs, also known as support-vector networks) are supervised learning models that examine data for classification and regression analysis in machine learning.

Cluster Analysis:

Cluster analysis is a technique for combining data into groups.

Dimensionality reduction:

Dimensionality reduction is a technique for reducing the complexity of data computations so that they can be completed faster.

Machine Learning: -

Machine learning is a task-solving technology that infers patterns from data.

Naive Baye’s Classifier: -

By applying the Bayes' theorem, naive Bayes classifiers are utilized to categorize. They're most commonly used in datasets with a lot of data, and they produce dependable results.

Is Data Science is good career:Data Science is one of the top growing careers in 2024, and it looks to top the charts in growth for many years to come. Whether you want to jump on this ride early or just learn more about it, we've put together a list of resources that helped us when we made our decision.

Expertise in data science is in high demand since it leads to observable and measurable commercial outcomes.

Is data science in high demand in organizations?

Data science is one of the fastest-growing fields in today's job market.

The term “data scientist” has become a specialized job description at many companies that rely on the analysis of large sets of data to make strategic decisions. At companies like Google and Facebook, data scientists are paid like gold in the form of six-figure salaries.

Which institute is best for learning data science in Pune?

Data Science Institute provides the best courses to learn Data Science and Big Data. Here you will get experienced and highly knowledgeable Data Science trainers, who have taught on various domains, explored the latest topics in this field and can give you expert-level knowledge on this field.

For getting more information about the institute click on the below link:https://technogeekscs.com/contact/

What are the finest data science certifications?

1.

Dell EMC Proven Professional Certification Program

2.

Certified analytics professional

3.

SAS Academy for data science

4.

Microsoft Certified Solutions Experts (MCSE)

5.

Cloudera Certified Associate (CCA)

6.

Cloudera Certified Professional – CCP Data Engineer

7.

Data Science Certificate – Harvard Extension School

8.

Amazon AWS Big Data Solution

9.

Oracle Certified Business Intelligence