Data science is a rapidly growing field with a wide range of applications in business, government, and academia. Data scientists use their skills to collect, clean, analyze, and interpret large datasets to extract valuable insights. As a result, data scientists are in high demand, and salaries for these positions are well above average.
What is Data Science?
Data science is a field that uses scientific methods to extract knowledge and insights from data. It is used in many industries to improve decision-making. Data scientists collect, clean, analyze, and visualize data to identify patterns and trends. They may also build and train machine learning models to make predictions or recommendations.
Data science is used in industry for a variety of use cases:
- Manufacturing: Predictive analytics for fault prediction and preventive maintenance, demand forecasting and inventory management, price optimization, and warranty analysis.
- Finance: Real-time stock market insights, fraud detection, and risk analysis.
- Healthcare: Early detection of diseases, personalized treatment plans, and drug discovery.
- Retail: Product recommendation systems, customer segmentation, and targeted marketing.
- Transportation and logistics: Dynamic price matching, supply-demand forecasting, and self-driving vehicles.
Data scientists use a variety of tools and techniques:
- Programming languages: Python and R are two of the most popular programming languages used for data science.
- Machine learning algorithms: Machine learning algorithms are used to train computers to learn from data and make predictions.
- Data visualization tools: Data visualization tools are used to create charts and graphs that make it easier to understand data.
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5 Data Science Jobs position: Certificate and Annual salary
| No | job position | Certificate need | Annual salary |
|---|---|---|---|
| 1 | Data scientist | Bachelor’s degree in a quantitative field, such as mathematics, statistics, or computer science; experience with programming languages such as Python and R; experience with machine learning and data mining algorithms | $120,931 |
| 2 | Machine learning engineer | Bachelor’s degree in computer science or a related field; experience with machine learning and data mining algorithms; experience with programming languages such as Python and R; experience with cloud computing platforms such as AWS or Azure | $100,956 |
| 3 | Data analyst | Bachelor’s degree in a quantitative field, such as mathematics, statistics, or business intelligence; experience with programming languages such as SQL and Python; experience with data visualization tools such as Tableau or Power BI | $84,685 |
| 4 | Business intelligence analyst | Bachelor’s degree in business administration or a related field; experience with data visualization tools such as Tableau or Power BI; experience with SQL and other data querying languages | $73,250 |
| 5 | Data engineer | Bachelor’s degree in computer science or a related field; experience with big data technologies such as Hadoop and Spark; experience with programming languages such as Python and Java | $104,075 |
15 Best free online courses to learn about data science:
| No | Course | Platform | Language | Level | Duration |
|---|---|---|---|---|---|
| 1 | Data Science Full Course | Edureka-YouTube | English | Beginner | 10 hours |
| 2 | Learn Data Science | Simplilearn-YouTube | English | Beginner | 11 hours |
| 3 | Data Science With Python | Intellipaat-YouTube | English | Beginner | 6 hours |
| 4 | IBM Data Analyst | Coursera | English | Beginner | 10 hours |
| 5 | Foundations of Data Science: K-Means Clustering in Python | Coursera | English | Beginner | 29 hours |
| 6 | Data Science Math Skills | Coursera | English | Beginner | 13 hours |
| 7 | Data Processing Using Python | Coursera | English | Beginner | 10 hours |
| 8 | AI For Everyone | Coursera | English | Beginner | 10 hours |
| 9 | Python for Data Science | freeCodeCamp | English | Beginner | 12 hours |
| 10 | Introduction to Programming with Python | Harvard University | English | Beginner | 9 hours |
| 11 | Data Science: R Basics | Harvard University | English | Beginner | 6 hours |
| 12 | Statistical Learning | edX | English | Intermediate | 11 weeks |
| 13 | Statistics Fundamentals | Josh Starmer-YouTube | English | Beginner | 6 hours |
| 14 | Feature Engineering | Kaggle | English | Intermediate | 5 hours |
| 15 | Deep Learning Crash Course | freeCodeCamp-YouTube | English | Intermediate | 1.5 hours |
Conclusion
Data science is a rapidly growing field with a wide range of applications. If you’re interested in learning more about data science, there are a number of free online courses that can get you started. With so many options to choose from, you’re sure to find a course that fits your needs and interests.
Thanks: Image by rawpixel.com on Freepik
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