The Data Science & Big Data Analytics course (40 hours) covers data processing, machine learning, statistical analysis, and big data technologies. It includes Python, R, SQL, Pandas, NumPy, and Scikit-Learn for data manipulation and predictive modeling, along with Hadoop, Spark, and Kafka for handling large-scale data. Learners will explore data visualization with Matplotlib & Tableau, AI-driven analytics, and cloud-based big data solutions. Hands-on projects involve real-world data analysis, machine learning models, and big data processing, concluding with a capstone project and certification exam. Ideal for those aiming for careers in data science, AI, and big data engineering.
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Course Objectives
Implement end-to-end Data Science & Big Data projects
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Tools & Technologies Used
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Top Job Roles in India
Data Architect, Quantitative Analyst, Data Mining Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, Big Data Engineer, Business Intelligence (BI) Analyst, NLP (Natural Language Processing) Engineer, Computer Vision Engineer, Cloud Data Engineer
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Top Recruiting Companies in India
Amazon India, Fractal Analytics, Mu Sigma, Flipkart, Wipro, Cognizant, HCL Technologies, Accenture India, IBM India, Busigence Technologies, Happay, DataTeams.ai, Analytics India Magazine Recruitment (AIM Recruits), ALP Consulting, NLB Services
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Future Prospects in India
·       High Demand for Data Scientists: The demand for data scientists in India is expected to grow significantly, with predictions of a 300% increase between 2022 and 2030 according to NASSCOM.
Source: NASSCOM (NASSCOM)
·      Rapid Market Growth: The Big Data market in India is projected to grow at a CAGR of 7.66%, reaching $3.38 billion by 2029.
Source: MarketsandMarkets (MarketsandMarkets)
·    Investment from Global Tech Giants: Microsoft has announced plans to invest $3 billion in AI and cloud infrastructure in India, supporting the growth of data-driven technologies.
Source: Wall Street Journal (WSJ)