Numtorch AI Developer
Whether you aim to work as a Data Analyst, Data Scientist, or Business Intelligence Specialist, this course provides hands-on training with real-world datasets and industry tools.
Course Overview
The Numtorch AI Developer course at Python Academy empowers learners to transform raw data into meaningful insights and actionable business strategies. This program covers the full data lifecycle — from collection and cleaning to visualization and machine learning — enabling you to make data-driven decisions confidently.
What You’ll Learn
Foundations of Data Science: Understanding data types, data pipelines, and data-driven decision-making. Python for Data Analysis: Using NumPy, Pandas, and Matplotlib for manipulation and visualization. Statistics & Probability: Key mathematical concepts behind predictive modeling. Data Visualization: Creating professional dashboards using Power BI and Tableau.
Machine Learning Basics: Regression, classification, and clustering models with Scikit-learn. Big Data Concepts: Introduction to Spark, Hadoop, and cloud-based data processing. Data Storytelling: Communicating insights through visual and narrative techniques.
Tools & Technologies
Languages: Python, SQL Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn Visualization Tools: Tableau, Power BI
Databases: MySQL, PostgreSQL Cloud Platforms: AWS, Google Cloud, Azure
Course Duration
Total Duration: 12 Weeks | 55 Hours
Online E Learning Platform
Trainer
Chris F
Highly driven, published Mathematician specializing in the theory and applications of Optimization, Stochastic, and Statistical Modelling, which provide a strong foundation for Data Science, with expertise in Python, PHP, Java, and JavaScript.
Outcome
By the end of this course, you’ll be able to:
Collect, clean, and process structured and unstructured data Create interactive dashboards and reports Build predictive models and evaluate performance metrics Interpret data to support data-driven decisions across industries
