6 Best Data Science Courses & Certifications for Beginners in this year – 2021. Data Science is an interdisciplinary science that deals with the extraction of knowledge from data. Data science generates information from large amounts of data in order to derive recommendations for corporate management. The aim of these recommendations for action is
6 Best Data Science Courses & Certifications for Beginners in this year – 2021.
Data Science is an interdisciplinary science that deals with the extraction of knowledge from data. Data science generates information from large amounts of data in order to derive recommendations for corporate management. The aim of these recommendations for action is to improve the quality of business decisions and the efficiency of work processes.
Data science is the intersection between the fields of mathematics, computer science, and industry-specific specialist knowledge. The area of data science deals with the analysis of (large) amounts of data, the detection of anomalies in the data, and the prediction of future events. In the workspace data science, working persons are referred to as data scientists
The term “data science” was first used in 1960 by the Danish computer science pioneer Peter Naur as a synonym for “computer science”. In 2001, the American computer scientist William S. Cleveland founded data science as an independent discipline. Cleveland named as areas of expertise of data science: data models and data methodology, arithmetic operations with data, the evaluation of tools, pedagogy, theory, and multidisciplinary research.
—Through this series of articles, we will work hard to provide the best courses and certifications that help you learn data science professionally from the beginning till to be an expert.
6 Best Data Science Courses & Certifications for 2021:
Offered by: — IBM @ Coursera
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.
It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist.
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.
In addition to earning a Professional Certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your proficiency in data science.
Course1: What is Data Science?
Course2: Tools for Data Science
Course3: Data Science Methodology
Course4: Python for Data Science, AI & Development
Course5: Python Project for Data Science
Course6: Databases and SQL for Data Science with Python
Course7: Data Analysis with Python
Course8: Data Visualization with Python
Course9: Machine Learning with Python
Course10: Applied Data Science Capstone
Offered by: — JHU @ Coursera
This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Course1: The Data Scientist’s Toolbox
Course2: R Programming
Course3: Getting and Cleaning Data
Course4: Exploratory Data Analysis
Course5: Reproducible Research
Course6: Statistical Inference
Course7: Regression Models
Course8: Practical Machine Learning
Course9: Developing Data Products
Course10: Data Science Capstone