
Data Science Methodology
Gain the critical skills you need to tackle problems effectively. Learn how to solve problems through analyzing data to address real-world business scenarios.
Develop your skills in this critical aspect of data science and take a great step forward in your data science career.
Data Science Methodology Highlights
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Duration
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Fee US$ 99 - US$ 199 |
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Duration
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Fee US$ 99 - US$ 199 |
Course Outline
Earn your certificate
Once you have completed this course, you will earn your certificate.
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Course details
Certificate
- FutureSkills Prime Certificate of Participation
- IBM Certificate
About this course
- 05 Modules
- 01 Skill
Includes
- 01 Final exam
- 05 Quizzes
- 12 Videos
Exercises to explore
- Python
- Jupyter notebook
Want to know more?
Get a Free ConsultationYou'll learn with these experts
Joseph Santarcangelo
- PhD., Data Scientist at IBM
- View on LinkedIn
FAQs
Data science is a field that integrates programming tools, statistical analysis, algorithms, and machine learning concepts in order to extract useful insights from massive amounts of data. It entails applying a range of disciplines, including statistics, scientific techniques, artificial intelligence (AI), and data analysis.
During this course you will:
- The most important steps in solving a data science problem.
- The primary phases involved in data science practice, from defining a specific business or research challenge to collecting and analyzing data, constructing a model, and comprehending the feedback received after model deployment.
- To think like a data scientist.
Job roles in data science include:
Data Analyst
A data analyst examines data and draws conclusions from their results. They assist in the development of a comprehensive picture of the company's market position through data extraction, data cleansing, and first-data analysis using high-tech computer models. They also evaluate data quality and report back to management on their findings.
Data Engineers
Data engineers are the backbone of a business because they are in charge of database design and management. They supervise the installation of data pipelines and ensure that information is sent to the appropriate departments. They also work with other data experts and use data visualization to convey their results with the rest of the company.
Business Intelligence Analyst
A business intelligence analyst examines data to help a company become more productive and efficient. They know how to use a variety of specialized machines and tools. They also serve as a link between business and technology, assisting both in achieving better results.
Marketing Analyst
A marketing analyst assists the marketing department of a corporation. They conduct research and provide recommendations on what should be mass-produced versus what should be scrapped. Customer satisfaction surveys are also used to improve present products and services, as well as to identify new things to sell to target clients.
Yes, it is a self-paced course that you can do at your own pace. It does not follow a predetermined timetable, unlike scheduled live sessions. You are free to work at your own pace if you complete the modules and the course before the deadline.
Yes. Data science methodology is a 100% online course. You will therefore need a good connection to the internet in order to be able to access the course materials.
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