NIIT India

Exploratory Data Analysis Using Python

Fees: ₹ 4,406 + Taxes 24 hours
Certification course Mentor-led hybrid
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The NIIT advantage

NIIT empowers you to launch your career in Data Analytics
  • Expert-led learning – learn from top industry experts
  • Industry-aligned curriculum & techniques
  • Empower learners for careers in data analytics
  • Explore how GenAI can boost your data analytics skill
  • Structured, Hands-on Learning Approach
  • Learner-centric support ecosystem
Turning ambitions into achievements
  • 40 Mn+ Learners worldwide
  • 4.6+Faculty rating
  • 800+Hiring partners
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Skills you gain

  • Proficiency in EDA using Python, Pandas, and NumPy
  • Hands-on data visualization using Matplotlib and Seaborn
  • SQL-based data extraction and querying with Python integration
  • GenAI-powered data exploration with Python

What you’ll learn

  • Data preparation, cleaning, and structuring using NumPy and Pandas
  • DataFrame operations including filtering, transformation, merging, grouping, and CRUD actions
  • Data summarization and analysis using descriptive statistics
  • Data visualization using Matplotlib and Seaborn
  • Data extraction and querying from SQL databases using Python
  • End-to-end data analysis workflow from raw datasets to meaningful insights
  • Systematic Exploratory Data Analysis (EDA) techniques and workflows
  • Identifying trends, patterns, anomalies, and relationships within datasets
  • Applying advanced analytical methods to uncover deeper, data-driven insights
  • Leveraging GenAI tools integrated with Python to accelerate EDA processes
  • Validating and refining findings using AI-assisted reasoning approaches
  • Presenting business-ready insights supported by data analysis and AI-generated narratives

Trusted by 800+ hiring partners

Am I eligible to apply?

Unlock exciting career opportunities!
  • Designed for ambitious students pursuing their graduation and ready to future-proof their careers.
  • Specially curated for BCA 4th and 5th Semester students at Seshadripuram Academy of Business Studies

Enroll in just a few easy steps!

  • Fill application

  • Pay fees

1. Application
    +91 Get OTP

    Frequently asked questions

    To enroll in this program, candidates must:

    • Be currently pursuing their degree at Seshadripuram Academy of Business Studies, Kengeri, Bangalore (exclusively for BCA 4th & 5th Semester students).

    • Be able to understand and communicate in English.

    The program follows a blended learning model — concept sessions are conducted offline (in classroom mode), while lab exercises are completed at home and submitted online for evaluation. This ensures structured in-person learning along with hands-on practice and flexibility outside the classroom.

    Weekly Learning Commitment: Two days per week.

    2-hour Mentor led Classroom session at a pre-scheduled time with an expert mentor
    2-hour flexible self-paced practice session to reinforce learning, where the Student will attempt Quiz of the concepts learnt and complete the practice Assignments which needs to submitted for review before the next session.

    The unique learning cycle (Learn 4 Practice 4 Apply 4 Review 4 Refactor) helps Students to learn from knowing and correcting their mistakes. 

    For this college, the program is structured into two progressive levels to ensure step-by-step learning and smooth execution:

    1. Python Foundations for Data Analysis [Level-1]:
      Focuses on building strong fundamentals in Python required for data analysis, including core programming concepts, libraries, and basic data handling.

    2. Exploratory Data Analysis & GenAI-Assisted Analytics using Python [Level-2]:
      Advances into hands-on data analysis techniques, data cleaning, visualization, and extracting meaningful insights using Python-based tools.

    This two-level structure enables students to first strengthen their foundation and then move toward applied, industry-relevant data analysis skills.

    Students become eligible for certification after successfully completing both Level 1 and Level 2. Upon completion of both levels, an official e-certificate will be awarded to eligible students.

    Exit Profile – Level 01
    Learners are equipped to function as entry-level Data Analysts, independently handling real-world datasets, performing exploratory analysis, and generating meaningful insights for business decision-making.

    Exit Profile – Level 02
    Learners are capable of advanced data exploration, insight generation, and AI-assisted analytics, making them ready for roles in Analytics, Data Science, and AI-augmented Analyst functions.

    Learners can reach NIIT’s support team through the program portal, email, or helpline (details provided after enrollment). To escalate an issue, log in to www.niit.com, go to My Courses, and raise a support request. Alternatively, log in to the LMS and use the Learner Support section to submit queries. Our advisors will assist you promptly. 

    Learners must have a system that supports online learning without disruption. 

    System Requirements: 

    • Hardware: Laptop/desktop with Intel i3 or AMD Ryzen 3 (or higher), 8 GB RAM, 50 GB of free space, functional webcam and microphone. 
    • Software: Windows 10/macOS or higher, latest Web browser (Chrome or Edge), MS Office or equivalent, and a PDF reader. 
    • Internet: Stable broadband/Wi-Fi with at least 5 Mbps speed; a backup connection is recommended. 
    • Security: Updated antivirus and permission to install necessary tools or libraries.

    This program is not assoicated with placement assistance servies from NIIT Limited

    Learners can choose to pay the full program fee upfront or opt for an installment plan. For detailed information, please refer to the Finance section on the program page.

    Learner success stories

    Exploratory Data Analysis Using Python

    “This course taught us all the technologies from the basic to advance. The classroom is virtual, but during the training I didn't face any problem while learning. They provided hands-on experience which makes us different and more confident on the technology. By the end of the program, I am able to fully develop the product. Thanks to all the mentors and placement team for helping me to enhance my skills and get placed in a good, reputed company.”

    Harika

    Exploratory Data Analysis Using Python

    “This course is designed in such a way that there is daily practice, hackathons and several projects which was very helpful during my interview. The mentors are very supportive, patient and cooperative with us and helped us a lot to over come all the challenges. Initially I had my doubts regarding this course, but now I can say that I made the right decision. Also the placement team service was very good. There are several grooming sessions, aptitude sessions, mock interviews for us to prepare ourselves for interviews. They provided enough motivation and helped me to be placed in good organization.”

    Bijayashanti Shukla

    Exploratory Data Analysis Using Python

    “The course material and mentoring approach were excellent. Collaborating with peers online was a great experience, and the mentors did an outstanding job of communicating and creating a supportive learning environment. It’s a very solid course, and I learned a lot throughout the journey. Special thanks to all the mentors — Komilla, Lopa, Vinod Raju, Sriraman, and Kshijit — and to the placement team for helping me secure a position. A heartfelt thanks to Shraddha Ma’am for her constant support during the placement process.”

    Baathuku Rishika

    Exploratory Data Analysis Using Python

    “The course was conducted online by fabulous tutors, and the program structure was excellent. It was designed with the right balance of challenges, and the mentors were always there to guide us through them. Shraddha Ma’am was a constant source of inspiration and support, helping me secure a great placement package.”

    Reddipalli Yaswanth Sai​

    Exploratory Data Analysis Using Python

    “I would like to thank NIIT for providing me with a platform to upskill myself. My six months of learning at NIIT were truly memorable — full of learning, personal growth, and self-development. The experience gave me the opportunity to meet diverse people and learn from them. I’m deeply grateful to all my mentors and the placement team for helping me enhance my skills and secure a position in a reputed company.”

    Veera Venkata Ramakrishna​

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