Top 10 Data Science Tools For 2022 | Data Science Tools and Libraries for Beginners | Simplilearn
In this video we are going to cover Top 10 Data Science Tools and Libraries which are being used in top-level industries that includes
1. What is Data Sciene?
2. Difference between Tools and Libraries
3. Top 10 data science tools
4. Top 10 data science Libraries
5. Concluson
1. What is Data Sciene? - 1:17
2. Difference between Tools and Libraries - 2:00
3. Top 10 data science Tools - 2:47
4. Top 10 data science Libraries - 17:01
5. Concluson - 22:31
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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. The data used for analysis can be from multiple sources and present in various formats.
Why Data Science?
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
✅Find the leading cause of a problem by asking the right questions
✅Perform exploratory study on the data
✅Model the data using various algorithms
✅Communicate and visualize the results via graphs, dashboards, etc.
About Data Science with Python Certification Course:
Ranked #1 Data Science program by Economic Times
The Data Science with Python certification course provides a complete overview of Python’s Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.
Data Science with Python Course Overview:
The Python Data Science course teaches you to master the concepts of Python programming. Through this Data Science with Python certification training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential tools of Data Science with Python.
Data Science with Python Training Key Features:
✅ 100% Money Back Guarantee
✅ 68 hours of blended learning
✅ 4 industry-based projects
✅ Interactive learning with Jupyter notebooks labs
✅ Lifetime access to self-paced learning
✅ Dedicated mentoring session from faculty of industry experts
Benefits
Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. The demand for Data Science professionals will grow an estimated 1581-percent by 2020 and professionals with Python skills will have an additional advantage.
Eligibility for this Data Science with Python course:
The demand for Data Science with Python programming professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python course is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.
Pre-requisites for this Data Science with Python course:
To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this training.
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