Data Science with Power BI Specialization Course
Course Overview:
The Applied Data Science course is designed to equip students with the essential skills and knowledge required to excel in the field of data science. The course consists of four comprehensive modules that cover key areas of data science, including Python programming, data science fundamentals, SQL, and Power BI. Throughout the course, students will gain hands-on experience by working on real-world projects, applying their knowledge to solve complex data problems, and developing practical solutions using various data science tools and techniques.
Module 1: Python Programming
In this module, students will delve into the fundamentals of Python programming language, including object-oriented programming (OOP) concepts and their application in data science. They will gain a strong understanding of Python’s syntax, data types, and control structures.
Module 2: Data Science Fundamentals
This module focuses on the core concepts and techniques in data science. Students will learn about data preprocessing, exploratory data analysis, feature engineering, and data visualization. They will also gain an understanding of statistical concepts and learn how to apply them in data science projects. By the end of this module, students will be equipped with the necessary skills to extract insights from data and communicate their findings effectively.
Module 3: SQL
This module focuses on Structured Query Language (SQL) and its role in data manipulation and analysis. Students will learn how to retrieve and manipulate data from relational databases using SQL queries. They will gain practical skills in database management, data extraction, and data manipulation. By the end of this module, students will be proficient in SQL and will be able to leverage its power to analyze and extract valuable insights from large datasets.
Module 4: Power BI
In this module, students will explore Power BI, a powerful business intelligence tool used for data visualization and reporting. They will learn how to create interactive dashboards, design visually appealing reports, and share insights with stakeholders. Students will also gain hands-on experience by working on real-world datasets and building impactful data visualizations using Power BI.
Module 5: Introduction to Machine Learning
In this exciting module, we will dive into the world of machine learning, starting from the very basics. Weāll begin by demystifying machine learning jargon and understanding the fundamental concepts. You’ll learn how machines can learn patterns from data, and we’ll explore real-life examples to see how it’s used in various fields.
Upon completion of the Data Science course, students will have the skills to apply for various roles in the data science field, including:
- Data Analyst: Utilize your skills in data analysis and SQL to uncover patterns, trends, and insights, while creating compelling data visualizations using tools like Power BI.
- Business Intelligence Developer: Create interactive dashboards, design visually appealing reports, and generate meaningful insights from data using Power BI, enabling organizations to make informed decisions.
- Python Developer: Utilize your strong foundation in Python programming to design, develop, and maintain Python-based applications, contributing to the development of data-driven solutions in various industries.
- Data Engineer: Design and maintain data infrastructure, constructing and optimizing data pipelines, integrating data, and working with big data technologies to ensure data availability, integrity, and efficiency.
- Power BI Developer: Leverage your expertise in Power BI to develop and optimize data models, design visually stunning and interactive dashboards, and implement advanced analytics solutions for businesses.
By completing the Applied Data Science course, you will be well-prepared to pursue these exciting roles and make valuable contributions in the dynamic field of data science.
