Becoming a data scientist requires a strong foundation in mathematics, statistics, and programming. Start by learning key languages like Python and R, along with SQL for database management. Gain expertise in machine learning, data visualization, and big data technologies. A degree in computer science, mathematics, or a related field is beneficial, but hands-on experience through projects and internships is crucial. Developing problem-solving skills and understanding business analytics will enhance career prospects. Certifications and specialized courses can further strengthen your expertise. Platforms like Uncodemy offer comprehensive training programs to help you build industry-relevant skills and advance in this competitive field.
supported by enough data to become a theory.
You have to study and study to become a scientist. you have to do experaments your self to see if you are a natural scientist.
After collecting data, a scientist needs to sort and evaluate the data. Depending on the research, there are numerous processes that can be used.
ther are only two different ways that scientist does not collect data
Explain how scientist collect and use data to conduct a research
the answer is the scientist designs a scientific inquiry
he isn't a scientist
they use it to do expiriments
analyse it
I think they look for trends or patterns in the data.
Data Scientist is the job which is creating a hype, by its demand all around the world. According to studies and reports, the U.S. will have around 140,000 to 180,000 fewer data scientists than it needs. Data science is in high demand, but the supply is not sufficient. India will need more data scientists than engineers and chartered accountants by 2018. Why wait? Become one and you will be in high demand. To become a data scientist, one must first require knowledge of Python Programming, Advance Python Concepts, Python, Python for Data Visualization, Statistics, Machine Learning, SQL, and all other data science concepts
The scientist was smart.!