The Data Analytics Program is an online course designed to equip learners with the skills and knowledge required to become effective data analysts. The program covers a range of topics, including data cleaning and manipulation, data visualization, statistical analysis, machine learning, and data communication.
The course begins with an introduction to data analytics and its role in business decision-making. Students will learn about the importance of data-driven decision-making and how to identify relevant data sources. They will also gain an understanding of data cleaning and manipulation techniques, including how to handle missing values, remove duplicates, and transform data formats.
In the data visualization module, students will learn how to create effective visualizations that communicate complex data insights in a simple and understandable way. They will gain an understanding of design principles, color theory, and data visualization tools like Tableau and Power BI.
The statistical analysis module covers a range of statistical techniques, including descriptive statistics, hypothesis testing, regression analysis, and ANOVA. Students will learn how to use statistical software like R and Python to conduct analyses and interpret results.
The machine learning module covers machine learning algorithms such as regression, classification, clustering, and deep learning. Students will learn how to use popular machine learning frameworks like TensorFlow and Keras to build predictive models that can be used to solve business problems.
In the data communication module, students will learn how to effectively communicate data insights to stakeholders using data storytelling techniques. They will also gain an understanding of ethical considerations related to data analytics, including privacy and bias.
Throughout the course, students will be able to practice their skills through hands-on projects that allow them to apply their knowledge to real-world data scenarios. These projects will provide students with the opportunity to develop a strong portfolio of data analytics work that they can use to showcase their abilities to potential employers.
In addition to technical skills, the Data Analytics Program also places a strong emphasis on soft skills such as communication, problem-solving, and critical thinking. Students will learn how to work effectively in teams, manage projects, and communicate with stakeholders, preparing them for the demands of a career in data analytics.
Upon completing the Data Analytics Program, students will have a comprehensive understanding of data analytics and the skills required to work as data analysts. Graduates will be able to work in a range of roles, including data analysts, business analysts, data scientists, and market research analysts. They will also be well-equipped to start their own data analytics businesses or pursue further education in data analytics or related fields.
Product ID GPS-K7LSM9N0
THIS COURSE IS AVAILABLE ONLY FOR CORPORATE CLIENTS
Course Features
- Lectures 26
- Quizzes 6
- Duration 54 hours
- Skill level All levels
- Language English, German
- Students 55
- Assessments Yes