Open Data Analytics Workshop is a free and real-time accessible learning community for individuals interested in Data Analytics. Our workshop offers a collaborative and inclusive environment where participants can learn, practice, and excel in data analytics. Through a combination of pre-class self-study videos, presentations, practical exercises, and projects. We provide hands-on experience and real-world applications. The workshop focuses on key concepts and practical skills necessary for Data Analytics. Participants will learn essential data analysis techniques, data visualization, statistical analysis, data wrangling, and interpretation of results. Participants would also gain hands-on experience using popular analytics tools and software.
This course is ideal for beginners or those with some prior knowledge in data analytics who want to enhance their skills and practical application. By taking this class, participants will benefit in several ways. Firstly, the pre-class self-study videos will provide a solid foundation, ensuring that everyone starts on the same page. The assignments and practical exercises will reinforce the concepts learned and allow participants to apply their knowledge in real-world scenarios. Collaborative projects will foster teamwork and problem-solving skills.
Upon completion of the Open Data Analytics Workshop, participants will have acquired a strong understanding of data analytics principles, gained practical experience through projects, and developed the skills necessary to tackle real-world data analysis tasks. This workshop offers a valuable learning experience, empowering individuals to leverage data effectively and make data-driven decisions in various domains
Here are the modules we would follow:
Learn Excel
Learn Basic Statistics
Learn Power BI
Learn SQL
Learn Python
Build Resume
Join our Data Analytics Workshop to gain valuable skills, connect with like-minded individuals, and embark on your data analytics journey.
Requirements
The Open Data Analytics Workshop has the following requirements and prerequisites:
Basic Computer Skills: Participants should have a basic understanding of computer operations, including file management, installing software, and navigating through applications.
Familiarity with Data Analysis Concepts: While the workshop is designed to cater to beginners, having a basic understanding of data analysis concepts such as variables, datasets, and basic statistical measures will be helpful.
Access to a Computer and Internet: Participants will need access to a computer or laptop with a stable Internet connection to attend the Zoom sessions, access study materials, and complete assignments and projects.
Software and Tools: Some of the specific data analytics tools and software used in the workshop will be communicated in advance. Participants may be required to install and have access to these tools on their computers. Commonly used tools include programming languages like Python or R, as well as data visualization software such as Tableau or Power BI.
Time Commitment: Participants should be willing to dedicate sufficient time for self-study, completing assignments, participating in live classes, and collaborating on group projects. The specific time commitment will depend on the workshop schedule, which will be communicated in advance.
While prior experience in data analytics is not mandatory, having a basic understanding of the concepts and tools mentioned above will enhance the learning experience and enable participants to grasp the workshop content more effectively. Note: It's important to know that participants will be provided with detailed instructions and guidance regarding the software installations, specific tools, and any additional prerequisites before the workshop begins, to ensure a smooth learning experience for everyone.
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Additional Details
Type: Workshop
Language: English
Level: Beginner
Skills: Data Analysis Techniques, Statistical Analysis, Data Visualization, Data Wrangling, Interpretation of Results, Practical Application, Collaborative Problem Solving, Project Management Skills