Data science is an important discipline especially in the age of information technology. The discipline focuses on scientific methods, systems, and processes to obtain insights and knowledge from data available in different forms. Data mining, a critical activity in business decision-making, is a key benefit of data science. Many organizations, therefore, require data science professionals to mine and analyze data in order to develop effective business strategies.
Data science training would thus improve the employability of an individual by equipping him or her with important skills for the modern workplace environment. Online courses have made it easier to undergo training in data science. These are the top 5 data science training courses available online:
This course is also available on Simplilearn. It allows learners to develop data analytic skills using R. Students can master data visualization, data exploration, descriptive analytics and prescriptive analytical techniques. Learners can access hands-on practice and understand how various classroom theories can be applied in the real world. Some of the industries in which it can be applied include retail, healthcare, finance, music industry, and airlines.
The course is ideal for beginners as well as data science professionals that would want to improve their skills and competencies. The program has an experienced data science professional as the course advisor. The course has both individual and business packages. The individual packages are divided into Self-Paced Learning and Online Classroom Flexi-Pass. To receive certification, learners must complete any one project among the four availed in the course. Candidates must also have a minimum score of 60% in either of the simulation tests. They must also complete 85% of the program.
This is a comprehensive online course in data science and big data offered by Duke University. The course has been designed for individuals interested in developing data analytics skills as well as various competencies in data science and big data. Professionals that can benefit directly from this course include project managers, architects, testers, software developers, mainframe professionals and business analysts.
Mandatory courses for this program include Data Science with Python and Data Science, Spark Developer and Big Data Hadoop, Tableau Desktop 10, and Machine Learning. Elective courses include Data Science with SAS, Cassandra, Impala, Storm, and Kafka. Lessons are delivered through a live virtual classroom by a live instructor and a teaching assistant. Each class can only have a maximum of 20 participants.
This is an online course in data science offered by the University of Washington. It is an ideal way to get a quality education without spending money. Candidates can develop essential skills on how to learn from data and obtain useful insights and predictions. The course is at intermediary data science level and some related experience is required. The course is hosted by Coursera and you will gain hands-on experience by undertaking this course. The University of Washington has tied up with the digital internship platform, Coursolve, so you can put the skills you learned to use by participating in a real-world project. Lectures are usually posted online. The course instructors are data science professionals with vast knowledge and experience in the discipline.
Simplilearn.com allows users to undergo data science training and SAS certification. There are currently 4043 learners registered for the course. Trainees can become experts in different analytic techniques using SAS. They can master advanced statistical techniques such as decision tree, regression, time series, and clustering. The online institution has experienced course advisors that can help students get through training efficiently. Individuals can select learning programs that suit and match their needs and specifications. Programs available include Corporate Training Solutions, Self-Paced Learning, and Online Classroom Flexi-Pass.
Coursera is an online data science training platform with over 200 courses on data science. For instance, a course such as Introduction to Data Science introduces learners to various data science concepts. Individuals can also learn the basic of statistics and big data. It is suitable for beginners because the course has an intermediate hurdle level. It is important for learners taking this course to have basic knowledge of databases, statistics, and Python. The prerequisite courses are also available on Coursera.
With an increased demand for data scientists in today’s world, it is important to upgrade your skills to stay relevant to the changing demands. The courses mentioned above equip you with the skills needed for this. Learn from any of these courses and it may just give you an edge over your colleagues in your next job interview.