Overview
Key Learning Objectives:
- Understanding Data Fundamentals: We will start by exploring the fundamental concepts of data, including its types, sources, and characteristics. You will learn how data is collected, processed, and transformed into valuable insights.
- Interpreting Data Visualizations: Visual representations play a crucial role in conveying complex data in a comprehensible manner. Throughout the course, you will gain proficiency in interpreting graphs, charts, and other visualizations, enabling you to extract meaningful information effectively.
- Data Analysis Techniques: Discover the world of data analysis as we cover various techniques for exploring, cleaning, and transforming raw data. You will become proficient in using popular tools and software to perform data analysis efficiently.
- Navigating Data Ethics and Privacy: With great power comes great responsibility. We will delve into the ethical considerations surrounding data usage, ensuring that you are equipped to handle data responsibly and with respect for privacy regulations.
- Making Data-Driven Decisions: The course emphasizes the application of data literacy skills to make informed decisions across diverse domains. You will engage in real-world case studies and practical exercises to sharpen your decision-making abilities.
- Communicating Data Insights: Data literacy is not limited to understanding data; it also involves effectively communicating insights to relevant stakeholders. You will learn how to craft compelling data narratives and present findings in a clear and impactful manner.
Tools Covered
- Degree Levels: Bachelors,Masters
- Field of Studies: Information Technology
- Prior Job Experience: NA
- Other Programs:
- Recent graduates, third year and final year students from the business management degree
- Professionals from any domain who want to learn Tableau tool to create effective reports and dashboards and assist Business Analytics department
- Executives and Department Heads who want to gain a better understanding of Tableau.
- Understand the fundamentals of Tableau and its functionality
- Learn how to connect Tableau to various data sources
- Learn how to create and modify views, charts, and dashboards in Tableau
- Become familiar with Tableau’s core features and tools
- Learn how to perform statistical analysis and data manipulation in Tableau
- Learn how to create custom visualizations and compelling stories with Tableau
- Learn how to share and publish Tableau dashboards and visualizations
- Explore best practices and strategies for building effective Tableau visualizations
- Tableau for Beginners
- Tableau Certified Data Analyst
Course Outline
- Week 1
- Microsoft Excel a Gateway to Analytics
- Conquer the world of Analytics with Data Warehouse & BI!
- Join Data Science Squad & Learn from Data Scientists
- Go Big with Big Data or Go Home
- Enough Talk Lets Talk About DevOps
- Deep Dive into Deep Learning & AI
- No Code Data Science Using KNIME
- Text Mining using KNIME
Our Methodology
Industry Usecases
With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical Support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Career Mentorship
You’ll have access to resume support, portfolio review and optimization to help you advance your career and land a high-paying role.
Frequently Asked Questions
Yes, You will be awarded a course completion certificate by Dice Analytics if you pass the course.
Since our trainings are led by Industry Experts so it is made sure that content covered in workshop is designed with hand on knowledge of more than 70-75 % along with supporting theory.
For this professional workshop, you need to have a PC with minimum 4GB RAM and ideally 8GB RAM.
Don’t worry! We have got you covered. You shall be shared recorded lectures after each session, in case you want to revise your concepts or miss the lecture due to some personal or professional commitments.
Yes, you can rejoin the training within the span of an year of your registration. Please note following conditions in case you’re rejoining.
1) There are only 5 seats specified for rejoiners in each iteration.
2) These seats will be served on first come first basis.
3) If you have not submitted your complete fee, you may not be able to rejoin. Your registration would be canceled