Introduction to Data Science

1. 1stepGrow academy Introduction to Data Science

2. Agenda 01 04 Skills required for Data Scientist What is Data Science? Importance of Data Science 02 05 A career in Data Science What Type of Data do Data Scientists Use? 06 03 Conclusion https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

3. What is Data Science? Data programming and mathematics to derive meaningful insights from data. Data scientists will apply machine learning algorithms to data, such as text, images, videos, and other data, to create artificial systems that can perform tasks that require human intelligence. These systems allow us to extract valuable insights from data and make better decisions in different situations. science is a field that uses https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

4. Importance of Data Science Recent developments have seen a rapid increase in the importance of Data Science. Transforming data is the key reason. The data was previously in a structured format that was smaller in size. This allowed for easy manipulation with BI tools. Today's data is often either semi-structured or unstructured, meaning that it is primarily in the form of images, audio, and videos. These data require advanced analytical tools that can handle large volumes of this diverse data. This is only one of the many reasons for the popularity of Data Science today. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

5. What Type of Data do Data Scientists Use? Data Scientists use both structured and unstructured data Structured data can be found in Excel Spreadsheets or CSV files. It is data that can be organized in columns and rows. example- Client data and spreadsheets with transaction information. Unstructured data, on the other side, is all else. This includes audio and video files as well as images and other multimedia files. More than 80% of enterprise data is unstructured. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

6. Skills required for Data Scientist Data scientists must have a solid understanding of: Statistics & Mathematics Computer Science skills Business understanding Analytical abilities Communication skills. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

7. A career in Data Science Data science is a rapidly expanding field. The market is expected to grow by almost 28% by 2026. There are many high-paying opportunities for data science professionals and this market will continue to grow. It is important to concentrate on getting the right qualifications, whether you are pursuing data science training or an advanced data analytics course at a recognized institute. Job Roles Data Scientist Data Analyst Data Engineer Data Architect Machine Learning Engineer

8. Conclusion Data Science is very essential for companies in the coming decade. By incorporating data science techniques into a business most organizations & companies can forecast future growth and analyze for upcoming threats. Now, it’s the right time to start a career in data science. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

9. Thank You For more information, please visit: https://1stepgrow.com/