Data Science Courses

506 Courses

Coursera

University Admission Prediction Using Multiple Linear Regression

University Admission Prediction Using Multiple Linear RegressionJoin us in this interactive project on Coursera where we delve into the practical applications of regression models to predict university admissions. Learn how to calculate the acceptance probability of a student to a specific university based on their profile. This project aims to equ.

Coursera

Paid Course

1-2 hours

On-Demand

Udemy

Introduction to Data Science using Python (Module 1/3)

Introduction to Data Science using Python (Module 1/3) Explore the fundamentals of data science and machine learning using Python with this comprehensive module offered on Udemy. Whether you're a beginner or looking to brush up on your skills, this course caters to all levels. Dive into the powerful Scikit Learn library and unlock the potential of.

Udemy

Free Online Course

2 hours 32 minutes

On-Demand

Udemy

Python : Master Programming and Development with 15 Projects

Python: Master Programming and Development with 15 Projects - Udemy Python: Master Programming and Development with 15 Projects Embark on a comprehensive journey to learn Python with this extensive course. Covering everything from the basics to advanced topics like Data Science, Data Visualization, Desktop Graphical Appl.

Udemy

Paid Course

1 day 8 hours 8 minutes

On-Demand

Cognitive Class

Big Data 101

Big Data 101 Get answers to fundamental questions such as: How do we tackle Big Data? Why are we interested in it? How does Big Data add value to businesses? Offered by Cognitive Class, this course falls under the categories of Big Data Courses, Data Science Courses, and Hadoop Courses. Enroll in Big Data 101 today to start your journey in mas.

Cognitive Class

Free Online Course

3 hours

On-Demand

Udemy

Advanced Data Science Techniques in SPSS

Advanced Data Science Techniques in SPSS Udemy Advance your SPSS skills to the next level by learning sophisticated data analysis techniques available in SPSS. This course, offered by Udemy, is perfect for data science professionals seeking to master high-level methods in SPSS. Categories: Neural Networks Courses Data Science Courses SPSS.

Udemy

Paid Course

6 hours 41 minutes

On-Demand

Udemy

Data Engineer/Data Scientist - Power BI/ Python/ ETL/SSIS

Data Engineer/Data Scientist - Power BI, Python, ETL, SSIS | Udemy Data Engineer/Data Scientist - Power BI, Python, ETL, SSIS Master hands-on data interaction and manipulation with our comprehensive course. Learn the ins and outs of Power BI, Python, ETL, and SSIS, guided by industry experts. Available now on Udemy..

Udemy

Paid Course

13 hours 17 minutes

On-Demand

Udemy

Statistics for Data Science and Business Analysis

Statistics for Data Science and Business Analysis Statistics for Data Science and Business Analysis Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis. University: Provider: Udemy Categories: Statistics & Probability Courses, Data Scie.

Udemy

Paid Course

4 hours 52 minutes

On-Demand

Udemy

Data Science Bootcamp with Power Bi and Python

learn to create Power bi python charts. Data Visualization, Cleaning and analysis with python Powerbi bootcamp

Udemy

Paid Course

2 hours 13 minutes

On-Demand

Udemy

Data Science and Analytics with AWS Quicksight and Power BI

Learn to create Power BI Visualization Charts and Reports | Data Preparation | Finding Insights from Data in Quicksight

Udemy

Paid Course

2-3 hours

On-Demand

Udemy

Tableau Desktop for Tableau Certified Data Analyst

Tableau Certified Data Analyst course for Data Analysis and Data Visualization

Udemy

Paid Course

2-3 hours

On-Demand

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Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!

Data Science Courses

University Admission Prediction Using Multiple Linear Regression

Introduction to Data Science using Python (Module 1/3)

Python : Master Programming and Development with 15 Projects

Big Data 101

Advanced Data Science Techniques in SPSS

Data Engineer/Data Scientist - Power BI/ Python/ ETL/SSIS

Statistics for Data Science and Business Analysis

Data Science Bootcamp with Power Bi and Python

Data Science and Analytics with AWS Quicksight and Power BI

Tableau Desktop for Tableau Certified Data Analyst

How to train in Data Science and become one from scratch?

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?