Data science is not something that will occur in the distant future; it is currently occurring. Data science has existed since the 1990s, but its value was not fully recognized until organizations struggled to make decisions based on the massive volumes of data they were acquiring. Data science has played a crucial role in allowing firms to expand their operations beyond the typical standards of data aggregation. It enables enterprises to obtain access to an ever-increasing volume of information and to observe new things in a more effective manner and from a different perspective. Since the development of modern technology has enabled the creation and storage of ever-increasing quantities of data, the volume of data has increased dramatically. It is believed that about 90 percent of the world’s data was created within the past two years.
Nonetheless, the data often remains unaltered in the databases and data lakes where it was initially stored. However, these benefits can only be achieved if we are able to appropriately analyze the data. The data science discipline addresses this issue.
There is a rise in the number of available employments for data scientists as organizations embrace data science to translate information and knowledge into action. Towards this, it is essential that one enrolls in the best data science course with a placement guarantee to secure one’s advantage and place in this industry,
It is vital to consider a range of factors while choosing a career, including your degree of interest, your financial status, and the return on investment (ROI). Similarly, the decision on which online data science courses to enroll in should be viewed through the same lenses.
Consider carefully what you wish to accomplish with your life once you have completed your data science studies. Analyst, Engineer, Architect, Statistician, or Data Scientist?
- Consider your current level of knowledge and consider whether learning data science could add value to it.
- Create an acceptable financial plan and consider the amount of time you are willing to devote to the course.
- Read testimonials and engage in dialogue with individuals who have already finished the training.
- Examine whether the course will provide you with a foundational understanding of Data Science and Statistics.
- Determine whether the class has been formally acknowledged.
- Determine whether the course falls within your budget.
- Utilize online training directory pages and filters to restrict your search for the best and least expensive data science courses.
To simplify your search for the best data science courses after the 12th, We have produced a list of some of the most incredible programs that will launch your career and put you on the path to becoming an accomplished individual in the field of data science. This list was vetted by our team of experts.
1. Data Science Job Guarantee Program
This Data Science course will help you get the career of your dreams through the use of an interactive learning methodology. This data science course covers a vast array of essential topics, including statistics, data analysis, data visualization, machine learning, deep learning, SQL, R, and Python, among others.
This program, which is recognized as one of the greatest for job progression, will help you to enter the field of data science by giving a comprehensive education in, among other topics, statistics, data analysis and visualization, machine learning, deep learning, SQL, R, and Python. You will receive this education through a combination of videos, hands-on projects, and live interaction with industry specialists.
2. Data Scientist Master’s Program:
This Data Science course, developed in collaboration with IBM, expedites your career growth in the field of data science and prepares you with the world-class training and knowledge required for success in this profession. This course delivers in-depth training on the most in-demand Data Science and Machine Learning abilities, as well as practical experience with essential tools and technologies, such as Python, R, Tableau, and fundamental machine learning ideas. If you want to advance your career in Data Science, you can become a Data Scientist by becoming an expert in the complexities of data interpretation, understanding technologies like Machine Learning, and mastering advanced programming skills.
Students are introduced to an integrated blended learning technique as a result of Simplilearn and IBM’s collaboration. This facilitates students’ data science proficiency. This Data Science course, which was designed in collaboration with IBM, will equip students with the skills essential to compete for prominent data scientist jobs.
According to Career Karma, Simplilearn’s Data Science course is the best online curriculum accessible.
3. Professional Certificate Program in Data Science
This comprehensive Data Science certification program is aimed at working professionals and covers job-critical topics including R, Python, Machine Learning methodologies, NLP concepts, and Data Visualization using Tableau. The program utilizes an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate-ready projects.
This Data Science certification program is offered by Purdue University and provides a comprehensive course curriculum with a focus on natural language processing, deep learning, business intelligence and data analytics, business analytics, and data engineering.
4. Python Certification Course
As part of Simplilearn’s comprehensive Python Training Course, you will study Python fundamentals such as data operations, conditional statements, shell scripting, and Django. This Python certification course will prepare you for an exciting career as a professional Python programmer by providing you with hands-on development experience. This Python training course covers the fundamentals of the programming language as well as its practical applications. The curriculum’s modules, projects, and assignments include Python data operations, strings, conditional statements, error handling, shell scripting, web scraping, and the popular Python web framework Django.
5. Data Science with R Certification Course
After finishing the Data Science with R certification course provided by Simplilearn, you will become an expert in data analytics using the R programming language. This data science with R course enables you to apply your data science skills to a variety of businesses, supporting them in conducting data analysis and making more informed business decisions due to your contributions. This R course will help you develop employable skills by incorporating cutting-edge material and offering customized mentoring sessions. Enroll in our R program, and you will instantly begin developing your data science expertise. Using the R programming language, the training for Data Science with R programming certification includes data exploration strategies, data visualization techniques, predictive analytics techniques, and descriptive analytics techniques. You will become acquainted with R packages, the process of importing and exporting data in R, the various data structures in R, and numerous statistical principles, cluster analysis, and prediction.
6. Data Science with Python Course
This Python Data Science certification course provides a comprehensive understanding of Python’s data analytics tools and approaches. Python knowledge is essential for many data science positions, and you may develop it through our Python data science course. With a mixed learning strategy, you can learn Python for data science in addition to fundamentals such as data manipulation and mathematical computation. Unlock a career as a data scientist with Data Science with Python training from Simplilearn. The Data Science with Python course teaches you how to master Python programming fundamentals. This Python for Data Science course will teach you Data Analysis, Machine Learning, Data Visualization, Web Scraping, and Natural Language Processing. Upon completion of this course, you will have mastered the fundamental Python Data Science tools.
