Course Overview
The Data Science Essentials course at Apex Learning Academy is designed to provide you with a solid foundation in data science principles and techniques. Whether you are a beginner looking to break into the field or a professional seeking to enhance your skills, this course will equip you with the knowledge and practical experience you need to succeed.
You'll learn how to collect, clean, and analyze data using industry-standard tools and programming languages such as Python and R. The course covers essential topics including statistical analysis, machine learning algorithms, data visualization, and data storytelling. You will also gain hands-on experience through real-world projects and case studies.
Our expert instructors will guide you through each step of the learning process, providing personalized feedback and support to help you achieve your goals. By the end of the course, you will have a portfolio of projects that demonstrate your data science skills to potential employers.
Course Syllabus
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Module 1: Introduction to Data Science
Overview of data science, its applications, and the data science process. Introduction to Python and R for data analysis.
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Module 2: Data Collection and Cleaning
Methods for collecting data from various sources. Data cleaning techniques, including handling missing values and outliers.
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Module 3: Statistical Analysis
Descriptive statistics, inferential statistics, hypothesis testing, and regression analysis.
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Module 4: Machine Learning Fundamentals
Introduction to machine learning algorithms, including supervised and unsupervised learning techniques. Model evaluation and selection.
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Module 5: Data Visualization
Creating effective data visualizations using tools such as Matplotlib, Seaborn, and ggplot2. Data storytelling techniques.
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Module 6: Big Data and Cloud Computing
Introduction to big data technologies such as Hadoop and Spark. Cloud computing platforms for data science.
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Module 7: Ethics in Data Science
Ethical considerations in data collection, analysis, and interpretation. Data privacy and security.
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Module 8: Data Science Project
Apply your data science skills to a real-world project. Develop a data science solution and present your findings.
About the Instructor
Dr. Eleanor Jones, PhD
Dr. Eleanor Jones is a seasoned data scientist with over 15 years of experience in academia and industry. She holds a PhD in Statistics from Stanford University and has worked on a wide range of data science projects, from developing machine learning models for predicting customer behavior to analyzing large-scale datasets for scientific research.
Dr. Jones is passionate about teaching and mentoring aspiring data scientists. She has taught data science courses at several universities and is known for her engaging teaching style and ability to explain complex concepts in a clear and accessible way. She is also the author of several books and articles on data science and machine learning.
Course Pricing
Regular Price: $999
Early Bird Discount (Register within 2 weeks): $799
Payment plans are available. Contact us for more information.