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Data science has created a plethora of job opportunities for aspiring data scientists and many more professions in recent years. Students and working professionals are highly interested to have a strong understanding of different aspects and elements of data science. They constantly look for data science courses with 100% placement in reputed companies from different institutions offering courses on data science. Courses on data science are providing a sufficient and deep understanding of all key concepts and hands-on experience with real-life projects to candidates. Let's explore the 10 best data science courses that you can choose to kick-start your career as a data scientist
Udacity's Data Analyst Nanodegree will teach you all of the knowledge, skills, and tools needed to build a career in big data analytics. In addition to covering both theory and practice, the program also includes regular 1-on-1 mentor calls, an active student community, and one-of-a-kind career support services. This program is best suited for students who have working experience with Python (and in particular NumPy and Pandas) and SQL programming. However, don't be discouraged if you lack these prerequisites.
Pluralsight's Big big data analytics with Tableau will not only give you a better understanding of big data but will also teach you how to access big data systems using Tableau Software. The course covers topics like big data analytics and how to access and visualize big data with Tableau. The course is taught by Ben Sullins, who has 15 years of industry experience and has offered consulting services to companies like Facebook, LinkedIn, and Cisco. Sullins passes on his knowledge to students through bite-sized chunks of content.
One of the popular courses for data professionals is offered by edX for the introduction to the basics of R programming. The curriculum of this online data science course consists of functions of R and data types, basic syntax, operations on vectors, advanced functioning, and many more.
The course begins by defining data analysis before teaching you how to identify, interpret, clean, and visualize data. The curriculum is taught via video by six different instructors, all of whom are experts in the industry. Some courses include quizzes and every course has a Q&A section where you can ask the lecturer questions about the course. The only downside? There are no hands-on projects.
Designed by Springboard in partnership with Microsoft, big data analytics Bootcamp is a six-month career-focused program with a job guarantee. The Bootcamp goes over fundamental business statistics concepts and advanced analysis techniques and teaches students how to use analytics and visualization tools like Excel, Python, SQL, Tableau, and Microsoft Power BI.
This program features bite-sized learning materials curated by data industry experts. It will help you get your dream job in data analysis regardless of how much free time you have to study. DataCamp's Data Analyst with R Career Track consists of 19 data science analytics courses handpicked by industry experts to help you start a new career in data science. Since each course is about 4 hours long, the entire track should take about 77 hours to complete. At the end of this track, students should be able to manipulate and analyze data using R.
The curriculum consists of seven areas: Excel Foundations, Storytelling with Data, SQL Foundation, Tableau, Business Research, Python Foundations, and Capstone Phase. During the Capstone Phase, students not only get to build a final project but also complete two culture fit interviews.
Data Science Specialization offered by Coursera, together with the prestigious John Hopkins University, is a ten-course program that helps you understand the whole data science pipeline at a basic level. Although anyone can sign up for this course, students should have beginner-level experience in Python and some familiarity with regression.
This five-course series aims to teach students how to use big data to make data-driven business decisions in the areas of finance, human resources, marketing, and operations. Created by the Wharton School of the University of Pennsylvania and hosted on Coursera, the Business Analytics Specialization is divided into four discipline-specific courses (customer, operations, people, and accounting analytics).
Offered by Duke University and available on Coursera, the Excel to MySQL: Analytic Techniques for Business Specialization is a beginner-friendly course that teaches students how to obtain as much information as possible from the data they already have. The program is divided into five courses. You start by learning best practices for using big data analytics to make a business more competitive before moving on to classes on Excel, Tableau, and MySQL.
