Course Details - Eacademy

What you'll learn

In a data science course, you'll typically learn a wide range of skills and topics. Here's a general overview of what you might learn:

Data Analysis: You'll learn how to collect, clean, and analyze data using various tools and programming languages like Python and R.
Statistics: You'll gain a deep understanding of statistical methods and their application in data analysis, including concepts like hypothesis testing, regression, and more.
Machine Learning: You'll explore machine learning algorithms and techniques, including supervised and unsupervised learning, and learn how to build predictive models.
Data Visualization: You'll learn how to create compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau to effectively communicate your findings.

SQL and Databases: Understanding how to work with databases and write SQL queries is a fundamental skill for a data scientist.
Data Ethics: You'll explore the ethical considerations of working with data and the responsible use of data in various applications.
Data Science Tools: Familiarity with data science libraries and tools, like Pandas, Scikit-Learn, and Jupyter, will be a key part of your training.
Real-World Projects: Many data science courses include hands-on projects where you'll apply your skills to real data and solve practical problems.

By the end of the course, you'll be well-versed in data science, capable of data analysis, statistical interpretation, machine learning, data visualization, and more. You'll have practical skills and knowledge to tackle real-world data challenges confidently

Course Content

What is Data Science?
The Data Science Process
Data Science Tools and Environment
Data Science Ethics and Responsible Data Handling

Data Sources and Collection Methods
Data Cleaning and Preprocessing
Data Quality Assurance

Descriptive and Inferential Statistics
Hypothesis Testing
Regression Analysis

Data Visualization Principles
Tools and Libraries

Supervised Learning (Regression, Classification)
Unsupervised Learning (Clustering, Dimensionality Reduction)
Model Evaluation and Selection

Ethical Considerations
Privacy and Data Security
Legal and Regulatory Compliance

Requirements

Basic Programming Skills: You should have a foundational understanding of programming. Python is a commonly used language in data science, so familiarity with Python is often expected. Some courses may also accept R or other programming languages.
Mathematics and Statistics: A grasp of basic mathematics, including algebra and calculus, is beneficial. Understanding statistics and probability is crucial as it forms the foundation for data analysis.
Databases and SQL: Familiarity with databases and the ability to write SQL queries is often required, as data is typically stored in databases.
Computer and Internet Access: You should have access to a computer and the internet to participate in online courses.

Description

Data Science is a multidisciplinary field that merges data analysis, programming, statistics, and domain expertise.
This comprehensive course covers data collection, cleaning, analysis, and visualization.
Statistical methods, machine learning, and deep learning are explored to build predictive models.
Hands-on projects and a capstone project are included to apply skills to real-world data challenges.
By course completion, you'll be well-prepared for data-driven roles in business, research, or various fields.

Review

4.7

Course Rating

63%

29%

Featured review

Emily T

Enrolling in the Data Science program was a pivotal moment in my career. The curriculum is meticulously designed, and the instructors are true experts in the field. Thanks to this program, I gained the skills and confidence to transition into a data science role, and I'm loving every moment of it.

Lisa

The Data Science program at Eacademy was a turning point in my professional life. The instructors' depth of knowledge and dedication to teaching is commendable. The practical projects helped me apply what I learned, and I'm now working in a role I'm truly passionate about.

Danish

The journey through Eacademy's Data Science course was transformative. The program not only equipped me with the skills I needed but also ignited a passion for data analysis. The exceptional career guidance and job placement support made all the difference, and I'm now on an exciting data science career path.