Data Science — From Fundamentals to Applied AI

Master applied machine learning and data analytics across Finance and Energy industries. Learn Python, modeling, visualization, and MLOps through hands-on case studies and real datasets.

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Dual Track: Business + Technical · Duration: 10 weeks · 400+ lessons · Finance & Energy specialization

Program Snapshot

  • • Python, Pandas, and Machine Learning
  • • Predictive analytics for finance and energy
  • • Visualization with Power BI and Tableau
  • • End-to-end MLOps deployment overview
Starting at Contact · Includes datasets, labs, and certification badge

Overview

This program blends the fundamentals of data science with domain-specific applications in Finance and Energy. Learn to analyze data, build models, and communicate insights through industry-focused case studies.

Data Foundations

Python, statistics, and data preprocessing for analytics and modeling.

Machine Learning

Supervised, unsupervised, and time-series models applied to finance and energy forecasting.

Business Storytelling

Visualization and insights communication using Power BI, Tableau, and dashboards.

Dual Tracks — Business & Technical

Business Track (Decision Science)

  • Data storytelling and visualization for decision-making
  • Financial analytics: P&L forecasting, credit scoring, churn analysis
  • Energy analytics: load forecasting, renewable performance metrics
  • Tools: Excel, Power BI, Tableau

Technical Track (Machine Learning)

  • Python (Pandas, NumPy, Scikit-learn, TensorFlow basics)
  • Feature engineering and model optimization
  • Time-series forecasting (ARIMA, LSTM)
  • End-to-end MLOps introduction

Hands-on Labs by Domain

Finance Labs

  • Credit Risk Scoring Model (Logistic Regression)
  • Portfolio Optimization using Python (Sharpe Ratio, Monte Carlo)
  • Customer Churn Prediction using Decision Trees

Energy Labs

  • Energy Load Forecasting (LSTM + Prophet)
  • Oil Price Forecasting using Time-Series Regression
  • Renewable Output Prediction using Ensemble Models

Yukti Data Mastery Path

This course fits into the Yukti ecosystem between Analytics Roadmap and AI Strategy, linking business analytics and applied ML.

Stage Course Focus
1 Data Foundation Core literacy, SQL, modeling, and governance
2 Analytics Roadmap Execution planning, KPIs, and delivery
3 Data Science Machine Learning for Finance and Energy
4 AI Strategy AI productization, governance, and ethics

Pricing & Certification

Self-paced

Contact

Lifetime access to lessons, datasets, and hands-on notebooks.

Cohort (Instructor-led)

US$1,299

10-week live cohort with mentorship and capstone project reviews.

Enterprise Labs

Custom Pricing

For corporate teams: finance and energy domain-specific projects.

Graduates earn the Yukti Certified Data Scientist — Finance & Energy credential.

Get Started

Join Yukti’s Data Science program to master applied machine learning and analytics for Finance and Energy industries.