Build expertise in performing exploratory data analysis by learning Pyspark using Python.Menu
Programming language makes its enormous presence and impacts every sector so rapidly in both IT and non-IT sectors including Software & Product Development, Infrastructure and Support Systems, Education, Banking, Insurance, Telecom, Automobile, Cyber Security, Surveillance Systems, Agriculture, Robotics, AI/ML applications, Healthcare, etc.
The reasons for its phenomenal adoption are plenty - ranging from the ease in learning through its simple syntactic structures to coding less and producing more advantages because of the vast sets of availability of libraries. Our program which is a blend of Pyspark and Python can solve simple to very high complex problems that the industries and markets are facing in recent and current times and also helps in building business-critical and sensitive applications by easily integrating with several other frameworks and infrastructures.
Also, believing in the statement, "Good communication skills are a step towards building a great career", our job guarantee program additionally offers aspirants with "Soft Skills" course. This course aids learners in getting placed in their dream companies.
Irrespective of the stream, Edifypath welcomes all the learners who can see the future in the programming world.
Engineering students who are pursuing their graduation / post-graduation (any stream).
Freshers, Tech Enthusiasts who see a future in the programming world.
Professionals who are looking for a career transition in the field of Data analytics.
Technical and non-technical domain experts who are enthusiastic about learning.
Allows learners to reap the benefits of the rich set of libraries that deal with innumerable features and frameworks.
Incorporates the simple methods of processing large data sets with end-to-end machine learning implementations with remarkable results.
Enables learners to become industry-ready and gain the competence to make progressive careers in AI, Data Science, and Business analytics.
Delivers rich expertise in programming and precise knowledge in data analysis.
The framework helps computer specialists to concentrate on data problems rather than being stuck with hassles around managing distributed infrastructure.
Facilitates huge demand for Spark professionals due to the widespread enterprise.
1. Hands-on-oriented sessions with elegant explanations of core concepts benefit aspirants to learn faster and start developing projects and applications.
2. Bridges the students' skill gaps in learning and build the competence for their progressive career.
3. Acts as an enabler to the working professionals to boost up their careers.
4. Our round-the-clock strong support teams assist learners throughout the program with the help of doubt-clearing sessions.
Bala is a Python and Machine Learning expert and holds M.Tech from NIT, Allahabad (Prayagraj, Uttar Pradesh). With over a decade and a half of experience in the IT industry, he has been a Developer, Trainer, Mentor, and Solutions Provider using technologies such as Artificial Intelligence, Machine Learning, and Big Data Analytics with Python for various domains including IT, Education, Telecom, Manufacturing, Health care, Messaging Applications, etc. He is a Python & AI/ML Subject Matter Expert and a passionate tech trainer who has been training for working professionals, and especially students, graduates, and enthusiasts bridging the gap between Academics, Learning Industry, and IT/non-IT Industries, helping them quickly land into their dream jobs and make career advancements.
Vijay is a Data Science Associate Architect and holds a B.Tech from Amrita University, Bangalore. With an overall experience of a decade in the IT industry, he has implemented advanced analytics projects in the areas of Machine Learning, Natural Language Processing, and Computer Vision. He also leads the AIML Lab and focuses on leveraging an open-source tech stack to build cost-effective tools which accelerate the data science project implementations. He is adept at identifying opportunities to extract value from datasets and solve focused analytical problems to produce innovative solutions. His experience ranges across various domains like Insurance, Telecom, Retail, and Public Sector.
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