Certificate Course on Data Analytics with Python

📊 Build Essential Data Analytics Skills Using Python! Learn how to use Python for data cleaning, statistical analysis, visualization, predictive analytics, and real-world data analysis. This practical course is designed to help participants turn data into meaningful insights.

🎓 Short Course on Data Analytics with Python: From Data to Insights

📊 Build Essential Data Analytics Skills Using Python!

Learn how to use Python for data cleaning, statistical analysis, visualization, predictive analytics, and real-world data analysis. This practical course is designed to help participants turn data into meaningful insights.

📅 Course Dates: 17th – 23rd October
⏰ Duration: 20 Hours
🖥️ Mode: Online

Session Times:
📌 Weekdays: 7.00 PM – 10.00 PM
📌 Weekend: 9.00 AM – 12.00 Noon

🎓 Certificate: Completion / Participation

(A Certificate of Completion/Participation will be issued in either soft copy or hard copy format.)

💰 Course Fee: Rs. 20,000/=
: USD $100

👨‍🏫 Resource Person:
Prof. I.U. Hewapathirana
Senior Lecturer,
Faculty of Science,
University of Kelaniya

💳 Payment Methods:
Online Payment: pay.iassl.lk

🏦 Bank Transfers:
Institute of Applied Statistics Sri Lanka (IASSL)
People’s Bank: 086100130008638
Sampath Bank: 003460001586

📝 Register:
Please register through the IASSL registration form/QR code.

🌐 More Information: www.iassl.lk
📞 Contact: 0112 588 291 | 077 732 4802
📧 Email: [email protected]

Course Fee

LKR 20,000 (Local), USD 100 (International)

Teacher Of Course

Resource Person:

Prof. I.U. Hewapathirana
Senior Lecturer,
Faculty of Science,
University of Kelaniya.

Information Of Course

Category

Duration Time

17th – 23rd October- (Weekdays: 7.00 PM – 10.00 PM ,Weekend: 9.00 AM – 12.00 Noon)

Level

Course Features

📚 Course Highlights

– Data Cleaning, Preparation and Transformation
– Descriptive Statistics and Exploratory Data Analysis
– Probability and Hypothesis Testing
– Regression and Predictive Analytics
– Clustering and Group Segmentation
– Time-Series Analysis and Forecasting
– Graph-Based Analytics and Network Analysis
– Practical, End-to-End Mini Project