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Data Science & Big Data Analytics

Sujata Dawn
Instructor
Sujata Dawn
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  • Description
  • Curriculum
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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.

 

Course Objectives

  • Master Data Wrangling & Feature Engineering techniques
  • Gain expertise in Data Visualization & Business Intelligence (Power BI, Tableau)
  • Understand and implement Big Data Technologies (Hadoop, Spark, Kafka)
  • Build machine learning models for real-world applications
  • Work on real-time data processing with Apache Kafka & Streaming Data

Implement end-to-end Data Science & Big Data projects

 

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

 

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

 

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)

Module 1: Introduction to Data Science & Big Data Analytics
Module 2: Data Wrangling & Feature Engineering
Module 3: Data Visualization & Business Intelligence
Module 4: Exploratory Data Analysis (EDA) & Statistical Analysis
Module 5: Machine Learning for Data Science
Module 6: Introduction to Big Data & Hadoop Ecosystem
Module 7: Real-Time Data Processing with Apache Spark & Kafka
Module 8: Cloud-Based Big Data Solutions
Module 9: Industry-Specific Applications of Data Science & Big Data
Module 10: AI-Driven Big Data Analytics & Future Trends
Module 11: Industry Expert Session
Module 11: Hackathon project
Certification Exam