Data Science & Analytics
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 Data Science & Analytics course at Sir Ius Services 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
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
