Search result for Data Science Online Courses & Certifications



Showing 1,726 courses


By Category
  • Data Science(1726)
By Subject
  • Data Analysis(372)
  • Machine Learning(359)
  • Data Science(196)
  • SQL(100)
  • Artificial Intelligence(73)
  • MySQL(72)
  • SQL Server(70)
  • R(68)
  • Deep Learning(53)
  • Probability and Statistics(49)
  • Statistics(43)
By Language
  • English (1585)
  • Spanish (39)
  • Russian (33)
  • German (15)
  • French (9)
  • Japanese (8)
  • Portuguese (Brazilian) (8)
  • Chinese (Traditional) (6)
  • Arabic (5)
  • Portuguese (3)
By Duration
  • 20+ hours (54)
  • 10 - 20 hours (180)
  • 5 - 10 hours (330)
  • 2 - 5 hours (458)
  • < 2 hours (189)
By Price
  • $200 - $1000(2)
  • $50 - $200(10)
  • $20 - $50(33)
  • less than $20(1163)
  • Free(6)
Description of Data Science Courses
  • Data Science is an interdisciplinary field that combines statistics, mathematics, and computer science to extract insights and knowledge from data. It involves using various techniques such as data mining, machine learning, and visualization to analyze complex data sets and make informed decisions.
Common Things Learned
  • In Data Science courses, students learn how to collect, clean, and transform data into a usable format, how to analyze data using statistical and machine learning techniques, and how to visualize and communicate their findings. They also learn how to work with big data technologies such as Hadoop and Spark, as well as programming languages like Python and R. Additionally, they learn about ethical considerations and best practices in data science.
Typical Student
  • Typical students of Data Science courses are individuals with a background or interest in statistics, mathematics, or computer science. They may be working professionals looking to upskill or transition into a career in data science, or recent graduates seeking to enter the field. Students should have a strong foundation in mathematical concepts and programming languages such as Python or R.
Get Course Alerts by Email
  • To get the fundamentals of Data Science, it may take around 3-6 months of dedicated study. However, becoming well adept in this topic may take several years of continuous learning and real-world experience. The time required also depends on the student's prior knowledge and experience in related fields such as statistics and computer science.
  • Data Science courses build upon foundational concepts in statistics, mathematics, and programming. They provide practical knowledge on how to collect, analyze, and interpret data using various techniques and tools. After completing Data Science courses, students may move on to more advanced topics such as machine learning, natural language processing, or deep learning.

  • Prerequest Courses

  • Post Courses
  • Data Science is used in various fields such as finance, healthcare, marketing, and social media. In finance, it is used for risk management, fraud detection, and algorithmic trading. In healthcare, it is used for disease diagnosis, drug discovery, and personalized medicine. In marketing, it is used for customer segmentation, market analysis, and recommendation engines. In social media, it is used for sentiment analysis, network analysis, and content recommendation.

  • Related Fields
  • Data Science is needed in various specific careers such as data analyst, data scientist, business analyst, and machine learning engineer. These professionals are responsible for collecting, analyzing, and interpreting data to make informed decisions and improve business outcomes. They work in various industries such as finance, healthcare, retail, and technology.

  • Examples of Common Careers
    • Data Analyst
    • Data Scientist
    • Business Analyst
    • Machine Learning Engineer
Saved Course list
Get Course Update
Computer Courses