Data Science & Business Analytics Training in Gurgaon
Are you ready to kickstart your career in the fast-emerging fields of Data Science & Business Analytics? Enrol in professional Data Science & Business Analytics course and gain prowess in Data Science along with data visualization, SAS programming and Business Analytics. The training programmes are designed for fresh graduates and working professionals who want to master this most sought-after skill set and drive their career. Build industry knowledge working on real-time case studies and capstone projects that help you gain a better understanding of the subject matter. Sulekha presents 780+ verified institutes for Data Science & Business Analytics training in Gurgaon. These top-notch institutes offer both beginner and advanced courses that can help you gain comprehensive knowledge of Data Science ecosystem and Business Analytics tools to pursue a successful career. We have an average 5 rating across ~reviewcount~ user reviews, leaving no stone unturned to deliver the highest quality of services.
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Everything you need to know about Data Science & Business Analytics training:
- 30-400+ hours of in-depth learning
- Designed for graduates and working professionals
- Practical hands-on projects, case studies and workshops
- Comprehensive Data Science & Business Analytics syllabus crafted by experts
- One-on-one session with industry-level mentors
- 100% job assistance and industry-recognised Data Science & Business Analytics certification on course completion
What is Data Science & Business Analytics?
Today, businesses are immersed in bulk data. To gain valuable insights and improve operational efficiency, it is important to identify the trends and patterns in such data. This has resulted into a significant growth in the demand for skilled Data Scientists and Business Analysts having expertise in diverse fields of information technology, statistics and business. They are responsible for precisely deciphering critical business data to solve real-time problems, leverage endless opportunities and aid in effective decision-making. However, a lack of supply in the industry has led to highly lucrative job opportunities for Data Scientists and Business Analysts.
About the course:
Data Science & Business Analytics training is designed to help aspirants achieve mastery in making critical data-driven decisions and launch a promising career in this high-demand field. The course is tailored to assist candidates in diverse aspects of Business Analytics, including quantitative and statistical analysis, exploratory data analysis, Data Science, testing analytics modelling, Machine Learning, predictive modelling and other popular analytics tools. With an experiential approach, Data Science & Business Analytics online training combines real-time case study solving, web-based classes, videos, demonstrations and industry projects to make your career ready. On successful completion of the course, you will get a prestigious certificate that will give you a competitive advantage in the job market as a skilled Data Scientist or Business Analyst.
Who should join?
- Fresh graduates with a passion for Data Science & Business Analytics
- Professionals working in the field of Data Science & Business Analytics, and considering upgrading their skills for better career scope
- Software engineers, Business Intelligence experts, analysts and IT professionals who want to up-skill and build a rewarding career in this arena
- The course is also suitable for sales & marketing professionals and managers considering career transition in Business Analytics and Data Science
Anyone with a bachelor’s degree and no prior coding experience can join Data Science & Business Analytics course for a bright career ahead.
Augment your skills with best-in-class content developed by leading Data Science & Business Analytics instructors and industry experts in the form of detailed curriculum, case studies, assignments, videos, live sessions and projects. Data Science & Business Analytics syllabus encompasses comprehensive knowledge on the following topics:
- Introduction to Data Science and Business Analytics
- Data collection and cleansing
- Visualizing data, manipulation, web scrapping, array computations
- Statistical analysis, probability, random processes, exploratory data analysis, inferential statistics
- Big data storage and analytics
- Basics of Machine Learning, Artificial Intelligence and Deep Learning
- Data warehousing and mining
- Data visualization
What are the learning benefits?
On completing the course, you will be regarded as a highly competent Data Scientist or Business Analyst with skills in various aspects of data sampling, statistical concepts, data mining, visualization, regression model, experiential treatments and much more. You can use this knowledge to boost your career opportunities as well as facilitate key decision-making for your organization.
The course duration depends upon the type and scope of Data Science & Business Analytics coaching programme you choose. The time span will also vary based on whether you select classroom training or Data Science & Business Analytics online classes. Typically, the courses may range from 30-400+ hours with some institutes also offering self-paced training with flexible batch timings.
The course fee will vary from one training institute to another based on the type of course, mode of training, curriculum and duration. On average, it may range between INR 8,900 and INR 1,29,000.
Data Science & Business Analytics training job opportunities:
Lucrative career opportunities that you can pursue in the field of Data Science & Business Analytics are:
|Data Science & Business Analytics job roles||Approximate annual salary of the professional|
|Data Analyst||INR 4,50,000|
|Data Scientist||INR 6,07,193 to 7,23,000|
|Product Analyst||INR 8,44,005|
|Business Analyst||INR 6,09,953|
|Learning Engineer||INR 4,50,000 to 8,90,000|
For any other query regarding Data Science & Business Analytics course, check out the following frequently asked questions with answers by industry experts in this field.