Top 10 Data Science Crash Courses Beginners Should Take Up
Data Science teaches storing vast amounts of data and analysis of the information, so here are crash courses.
Data science is an emerging, research-based field that is fast becoming one of the hottest careers around. It is a vital instrument that helps businesses grow and evolve. Data Science deals with collecting large amounts of data and analyzing user behavior. The information is then used to draw conclusions, make plans, implement policies and make better data-driven decisions. Data Science is a more forward-looking approach, an exploratory way with a focus on analyzing the past or current data. The data scientist’s duties can include developing strategies for analyzing data, preparing data for analysis, exploring, analyzing, and visualizing data. During Data Science courses, students learn how to collect and store vast amounts of data and how to organize them in an efficient way that allows easy access and analysis of the information. Here are some of the top data science crash courses.
Applied Data Science Program: It is a 3 month course. This has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, deep learning, recommendation systems, and more, it prepares you to be an important part of data science efforts at any organization.
Data Visualization with Tableau: It is a six-month course. This data visualization with Tableau specialization offered by Coursera in partnership with UC Davis is intended for newcomers to data visualization with no prior experience using Tableau.
ACP Data Science: It is a three-month course. It is designed to meet the expanding multi-disciplinary needs of data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects.
Learn SQL: It is a two-month course. This performs analysis on data stored in relational and non-relational database systems to power strategic decision-making. Learn to determine, create, and execute SQL and NoSQL queries that manipulate and dissect large-scale datasets.
Functional Programming in Scala Capstone: It is a two-month course. This Functional Programming in Scala Capstone offered by Coursera in partnership with École Polytechnique Fédérale de Lausanne is part of the Functional Programming in Scala Specialization.
Python for Analytics: It is a three-month course. This program at the Emeritus Institute of Management serves as a powerful tool for your professional development. Designed to provide you with a straightforward introduction to coding with Python, the program will also teach you how to apply Python functions and packages to evaluate data and extract essential insights.
Fundamentals of Data Science: It is a one-month course. It will offer you practical knowledge of machine learning and data visualization that you can immediately put to use in your workplace.
Data-driven Decision Making: It is a one-month course. In this course offered by Coursera in partnership with PwC, you’ll get an introduction to data analytics and its role in business decisions.
Image Processing with Keras in Python: It has a one-day duration. This course at Data Camp and learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras.
Theory of Probability: It is a 2-month course. It is offered at Stanford University. In this course, you will learn probability spaces as models for phenomena with statistical regularity, discrete spaces, continuous spaces and densities, random variables, expectation, independence, and conditional probability.
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Data Science teaches storing vast amounts of data and analysis of the information, so here are crash courses.
Data science is an emerging, research-based field that is fast becoming one of the hottest careers around. It is a vital instrument that helps businesses grow and evolve. Data Science deals with collecting large amounts of data and analyzing user behavior. The information is then used to draw conclusions, make plans, implement policies and make better data-driven decisions. Data Science is a more forward-looking approach, an exploratory way with a focus on analyzing the past or current data. The data scientist’s duties can include developing strategies for analyzing data, preparing data for analysis, exploring, analyzing, and visualizing data. During Data Science courses, students learn how to collect and store vast amounts of data and how to organize them in an efficient way that allows easy access and analysis of the information. Here are some of the top data science crash courses.
Applied Data Science Program: It is a 3 month course. This has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, deep learning, recommendation systems, and more, it prepares you to be an important part of data science efforts at any organization.
Data Visualization with Tableau: It is a six-month course. This data visualization with Tableau specialization offered by Coursera in partnership with UC Davis is intended for newcomers to data visualization with no prior experience using Tableau.
ACP Data Science: It is a three-month course. It is designed to meet the expanding multi-disciplinary needs of data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects.
Learn SQL: It is a two-month course. This performs analysis on data stored in relational and non-relational database systems to power strategic decision-making. Learn to determine, create, and execute SQL and NoSQL queries that manipulate and dissect large-scale datasets.
Functional Programming in Scala Capstone: It is a two-month course. This Functional Programming in Scala Capstone offered by Coursera in partnership with École Polytechnique Fédérale de Lausanne is part of the Functional Programming in Scala Specialization.
Python for Analytics: It is a three-month course. This program at the Emeritus Institute of Management serves as a powerful tool for your professional development. Designed to provide you with a straightforward introduction to coding with Python, the program will also teach you how to apply Python functions and packages to evaluate data and extract essential insights.
Fundamentals of Data Science: It is a one-month course. It will offer you practical knowledge of machine learning and data visualization that you can immediately put to use in your workplace.
Data-driven Decision Making: It is a one-month course. In this course offered by Coursera in partnership with PwC, you’ll get an introduction to data analytics and its role in business decisions.
Image Processing with Keras in Python: It has a one-day duration. This course at Data Camp and learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras.
Theory of Probability: It is a 2-month course. It is offered at Stanford University. In this course, you will learn probability spaces as models for phenomena with statistical regularity, discrete spaces, continuous spaces and densities, random variables, expectation, independence, and conditional probability.
More Trending Stories
- Shiba Inu is All Set to Reach US$0.000017 this July! But Won’t Break Past That
- Google to Delete Sensitive Data on Users’ Location History after Roe Revocation
- Books almost Losing Copyright gets an NFT Twist to Preserve its Status
- Deepmind’s ‘Democratic AI’ Distributes Public Money! Might Make an AI Govt
- Foundation AI Models Like DALL.E & GPT-3 Need Community Norms Before they Harm
- Top 10 Famous Ethical Hackers in India to Know About in 2022
- Can Dumping Commercial Paper Holding Help Tether Gain US Dollar-Peg Trust?
The post Top 10 Data Science Crash Courses Beginners Should Take Up appeared first on .
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