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Data Science Week Day - 1 | Python Mathematics For Data Science | Data Science Course |Simplilearn

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Published on 07/15/23 / In How-to & Learning

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Data Science Week Day-1 will teach you Python and Mathematics for Data Science. You will learn the concepts of Python programming such as loops, conditional statements, object-oriented programming, functions and more. This data science course will make you understand the need for probability, statistics, calculus, and linear algebra for data science.

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What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

Why Python for Data Science?
Python is the most popular programming language for data science and machine learning and provides a collection of libraries such as NumPy, Pandas, matplotlib, scikit learn, etc to analyze data and build prediction models.

Why Mathematics for Data Science?
Mathematics is equally essential for creating efficient models. You need to learn statistics, probability, calculus, and linear algebra for understanding the working of machine learning algorithms.

Why Data Science?
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
1. Find the leading cause of a problem by asking the right questions
2. Perform exploratory study on the data
3. Model the data using various algorithms
4. Communicate and visualize the results via graphs, dashboards, etc.

About Simplilearn Data Science Course:
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques.

The Data Science with Python course is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

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