The LiveXNano Data Science NanoDegree delivers a robust foundation in data analysis, visualization, and machine learning, paired with advanced techniques for transforming raw data into actionable insights. Participants will master critical domains like data mining, statistical modeling, predictive analytics, and big data frameworks. The program emphasizes practical application, equipping graduates to analyze complex datasets, drive data-informed decision-making, and deliver innovative solutions across industries.
Key Benefits
Industry-Agnostic Expertise: Apply data science skills across sectors, from healthcare to finance.
Predictive Analytics Mastery: Build and deploy models to forecast trends and outcomes.
Big Data Proficiency: Work with cutting-edge tools like Hadoop, Spark, and cloud-based platforms.
Real-World Application: Solve authentic business challenges using diverse, large-scale datasets.
Rapid Skill Development: Condense years of learning into a focused, efficient program.
Program Structure
Quarter 1
DS111 Programming for Data Science 3 Credit Hours
DS120 Introduction to Data Science 3 Credit Hours
MA111 Mathematics for Computing 3 Credit Hours
Quarter 2
DS211 Advanced Programming for Data Science 3 Credit Hours
CS220 Database 3 Credit Hours
AI230 Machine Learning 3 Credit Hours
Quarter 3
DS300 Data Analytics 3 Credit Hours
AI300 Deep Learning 3 Credit Hours
DS330 Data Visualization 3 Credit Hours
Quarter 4
AI400 Generative AI Tools 3 Credit Hours
SE411 Software Engineering 3 Credit Hours
SE430 Capstone Project 3 Credit Hours
Why LiveXNano?
· HyFlex Flexibility: Switch between online/onsite like all programs.
· Affordable: 60-70% lower cost than traditional degrees.
· Industry-Aligned: Curriculum co-designed with digital agencies.
Hashtag:
#DataScience #BigData #DataAnalytics #PredictiveAnalytics #DataVisualization #Hadoop #Spark #TechSkills #DataDriven
- Live Class
- Start Date15 August 2026
- DurationOne Year
- Credit Hours36
- LanguageEnglish / Urdu
- CertificateYes
- Offered By:School of Systems and Technology (SST), UMT
Refund Policy:
If an enrolled certification program cannot commence due to low enrollment, learners may transfer their paid amount in full or in part to another program. Alternatively, learners may request a full refund, which will be issued only via banker's cheque.
