DATA SCIENCE TRAINING
Data literacy is at an all-time low. As the volume of data expands, so does the need for people to understand it. We offer the expertise, experience, and a team of data scientists to train your staff and assist them not just understand, but also fully utilise data science.
Data science training for corporates is the greatest solution for firms who already have a team of data analysts because it helps to improve the abilities of their staff. Data scientists that are highly knowledgeable and industry-ready can assist businesses of all sizes, including huge corporations and start-ups. Corporate data science training allows experts to present quantified data-driven evidence, see patterns and opportunities, and empower management to make better decisions.
Data Science Training Services We Offer for Corporates
We provide expert data science training for corporations at Auto Innovative Hub, making data science adoption easier for businesses of all sizes. We can assist you with everything, whether you need executive level training on data science solutions for your staff or technology training on big data and analytics. Our corporate data science training in India assists firms in successfully deploying data science solutions to generate enhanced results. We have the expertise to provide data science corporate training. We are able to deliver training on big data analytics to CXOs by providing meaningful data science services to clients all around the world. The following three types of data science training for businesses can be roughly classified:
1. Classroom Training
Our one-of-a-kind classroom training is designed to specifically meet the skill requirements of three groups of stakeholders: CXOs, middle managers, and technologists. We have a customised classroom training programme for each of these stakeholder groups. We recognise that the correct mentorship can assist you in effectively managing technological upheaval, thus we develop performance capabilities.
Intensive hands-on training programmes are included in our sessions to address real-world business difficulties. Our training sessions include hands-on practise, a variety of live use cases, and post-training online/phone support. We are consistently on the cutting edge of market trends. Furthermore, our course modules are constantly updated to match your needs. Our data scientists will allow you to make business decisions and get important insights from your big data using their extensive big data analytics experience. Our training will impact your key performance metrics in a direct and measurable way.
2. Digital Data Science Learning Academy
The curriculum is designed to respond to vertical-specific needs as a flagship digital data science learning academy. We have multiple modules of high-quality information divided into levels such as basic, intermediate, and advanced, as well as a robust mentor staff for offline support. Users receive a certificate detailing their total credits earned as well as personalised statistics such as completed courses, exam results, and so on. Human Resource Management tools and mobile technology can both be used to integrate user engagement. These are fun and interactive e-learning courses with content designed to be evaluated in both formative and summative ways.
3. As a Combined Offering - Online and Classroom
Use cases, case studies, and hands-on experience abound in the digital learning academy. The material is tailored to meet the specific needs of a given domain. We can also tailor the training algorithm to a specific dataset if the client has one. This guarantees that the training is applicable and understandable. The content is created by mentors who are both certified data scientists and data science practitioners. As a result, there's a good balance of applied data science and academic topics in the curriculum. Modules prepares participants to take worldwide certification exams. For example, after attending our Big Data and Hadoop training programme, participants are well prepared to take Cloudera and Hortonworks global certification exams. The impact of our modules on the client's key performance indicators is clear and measurable.
4. 4-step Data Science Training for Corporates We Follow
Generally, at Auto Innovative Hub, we follow a four-step process to provide the training: The process we follow is summarized below -
1. Analyze the requirement shared by the organization
2. Build a custom training module
3. Share our proposal with the client
4. Once the proposal is approved, the pre-requisites met, the training is conducted either on-premise or on hired location
5. Our Service and Technology Expertise
The material of our course is created by mentors who are both certified data scientists and data science practitioners. All of our professionals have years of multi-domain industry knowledge and continue to educate themselves on new industry advances.
Our Technology Depth Covers -
Our industry experts have successfully provided this service to numerous clients across different industry sectors. We have -1. Efficiently served clients across 8 different industry sectors
2. Impacted 50+ leading firms worldwide
3. Trained 5000+ professionals
This was achieved with the support provided by our team of eminent data scientists, architects, and engineers having decades of experience in big data and machine learning. They are actively engaged in developing solutions for structured and unstructured data.
Our Services Are Employed For -
1. Building capabilities for performance through our training services2. We have separate and customized trainings for CXOs, mid-level and analysts
3. Our intense classroom trainings are complemented by e-learning modules that will help audience learn complex topics at their own pace
4. To enable decision makers on adoption of big data technologies and what tools and services fit their business environment
6. Software We Leverage
The software we leverage hugely depends on the type of technology topics that are chosen for the training. However, most often, we use the following -
1. A big data platform
2. Open source software like Python/"R"