With a huge demand in the pipeline, data science course providers are offering excellent training curricula within a respectable range of data science course fees. With rising inflation and looming recession in the global order, it is expected that the online course fees would spike in the coming months to match the expectations of the industries. If you are planning to upskill in data science and AI domains, this is the best time to enroll in the best data science courses.
In this article, we will highlight the various features of a high demand AI course that you can look into for your biodata.
Data Science for Graduates
The demand for data science is at an all time high. Many organizations and consulting companies that provide services to the IT and AI innovation businesses are relying on trained batches of data scientists and data analysts to drive value in this industry.
With open sourcing of data management and backend operations engineering, many IT and Computer Science engineering students from UG and graduate batches are taking up data science courses. As there is no condition to join a data science course, many graduates are desiring to add AI and machine learning skills to their technical knowledge and apply for data science jobs.
This has come up as a major boost to the overall data analysis industry which can hire excellent talent from engineering and science colleges at a much cheaper cost of resource acquisition.
Data Science for Business Professionals (Executive MBA + Business Analytics)
Data science course fees are at least half of what B-schools charge from their students. Most working professionals now consider adding a data science certification to their biodata against going for a full time MBA or an executive MBA with business analytics as a specialization. This has proved to be a major talent pool for hiring in data science domains where top grade courses are providing not only technical training in Python, R, and SAS programming but also adding dimensions in communication, critical thinking, and project management.
For less than 200,000 Indian Rupees, you are able to acquire highly relevant business analytical skills in a data science course curriculum in less than 8 to 10 months.
Classroom + Virtual and Physical Lab Experiments
The best course structure is designed to meet every student’s current skill set and train them to acquire new skills and technical expertise on costly simulated lab machines. Major courses provide training in all possible ways. Due to the pandemic lockdown, almost all courses were conducted in the online mode.
But today, there are a lot many options in terms of training and project development. Students can apply for courses depending on their logistical demands, and practical and theoretical subjects are taught in a manner that justifies the data science course fees you pay for.
Irrespective of which platform you are trained in, your curriculum would prepare you for interviews, Python open source hackathons, workshops, and advanced certification courses in AI and Machine Learning subjects. Many alumni groups are now part of global AI movements in leading organizations such as AWS, Salesforce, Google, Facebook, Oracle, IBM, and Infosys.
Open for All
Data science course fee structures are so student-friendly that anyone with mathematical and science background can easily apply for these courses. With rampant demand from students with other non-science and non-engineering backgrounds, many major course providers are also offering data science training in a comprehensive manner.
The curriculum includes an introduction to basic data science, mathematical programming using Excel and SQL operations, data transformation and cleansing, and data reporting. The “open for all” logic has actually made this industry so much more competitive and democratic that many non-science students are actually going ahead in their careers to start businesses and startups in areas of commerce, finance, and legal.
