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Course Highlights

  • Our Post Graduate Program in Data Science and Analytics spans 5 months, offering in-depth training in data collection, preprocessing, analysis, and machine learning.
  • With hands-on projects, expert mentorship, and flexible schedules, this program is designed to equip you with the skills needed to excel in the data science industry.
  • Job roles aligned –
    • Data Analytics, Data Scientist

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in this Post Graduate Program in Data Science and Analytics?

  • By enrolling in our course at Fireblaze AI School, you can expect to gain comprehensive knowledge and practical skills in Data Science, AI, and emerging technologies.
  • You'll start with foundational concepts, learning Python, statistics, and data analysis techniques. As you progress, you'll dive into advanced machine learning algorithms, data visualization, and real-world use cases, all designed to prepare you for industry challenges.
  • The course emphasizes hands-on experience, so you'll work on projects that mirror real-life scenarios, applying what you've learned to solve complex problems. You'll also benefit from expert mentorship, personalized guidance, and collaborative learning, ensuring you grasp both the theoretical and practical aspects of the subject.
  • Upon completion, you'll be equipped to handle data-driven tasks, build predictive models, and contribute effectively to any tech-driven organization, making you an asset in the fast-evolving world of data science and AI.
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Reasons to enrol

Why should you take this Post Graduate Program in Data Science and Analytics?

  • This course empowers you to extract valuable insights from data, make informed decisions, and drive business growth.
  • You'll master essential tools like Python, SQL, Excel, and Power BI to manipulate, analyze, and visualize data effectively.
  • Build a strong foundation in machine learning to create predictive models and gain advanced Data Science training. Whether you're starting a new career or upskilling in your current role, this comprehensive curriculum equips you with the skills to excel in data science and analytics.
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Ideal Participants

Who should take this Post Graduate Program in Data Science and Analytics?

  • This course is ideal for individuals aspiring to enter the data-driven workforce or looking to enhance their data analysis skills.
  • This includes recent graduates, professionals seeking a career in data science, or those aiming to boost their skillset within their current role. Prior programming experience is beneficial but not required.
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Curriculum

Curriculum

  • Module 1: Programming Fundamentals (Python)
    • Master Python syntax data structures, and control flow.
    • Build a strong programming foundation for data-centric tasks.
  • Module 2: Python for Data Science
    • Learn NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization.
    • Explore data cleaning, exploration, and preparation techniques.
  • Module 3: Machine Learning
    • Understand machine learning concepts and algorithms. Implement regression, classification, and clustering models using Python libraries like Scikit-learn.
    • Develop predictive models.
  • Module 4: Power BI
    • Explore data visualization and business intelligence with Power BI.
    • Create interactive dashboards and reports.
    • Connect to various data sources and transform data for analysis.
  • Module 5: Microsoft Excel
    • Master Excel for data analysis, manipulation, and visualization.
    • Learn pivot tables, data modeling, and advanced functions.
  • Module 6: Structured Query Language (SQL)
    • Learn SQL to extract, manipulate, and analyze data from relational databases.
    • Understand database structures and query optimization.

Note: Practical exercises, case studies, and projects should be integrated throughout the curriculum to reinforce learning and develop problem-solving skills.

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skills and tools

Tools you will learn in this Post Graduate Program in Data Science and Analytics

  • Python Programming
  • Python for Data Science
  • Machine Learning
  • Power BI
  • Microsoft Excel
  • Structured Query Language
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