This course offers a deep dive into core data analytics concepts, covering areas such as data manipulation, statistical analysis, and effective data visualization.
Data analytics is the process of taking information from unprocessed data and turning it into meaningful insights. One of the most in-demand skills in the IT (information technology) industry, the need for it is seen across a variety of industries, including healthcare, banking, retail, real estate, education, gaming, and more.
This course is a comprehensive program aimed at providing participants with the fundamental skills needed to excel in the dynamic field of data analytics. This course offers a deep dive into core data analytics concepts, covering areas such as data manipulation, statistical analysis, and effective data visualization.
With a strong focus on practical learning, students engage in hands-on exercises, real-world projects, and case studies to apply their knowledge to real-world data scenarios.
Course Objectives
Learn Excel for data management and calculations.
Understand database sorting and filtering.
Build Excel macros for automation.
Understand SQL for data querying.
Explore machine learning concepts.
Master pivot tables for data summarization.
Explore advanced database functions.
Gain insights into data analytics and statistics.
Automate tasks with Python.
Create visualizations and dashboards.
Student Journey Throughout The Course
Upon enrolling in this data analytics course, you'll receive training from seasoned professionals with over 8 years of experience. Data analysis is a technique for arranging, gathering or transforming data in order to forecast the future and make informed data-driven decisions.
Data analysis also aids in the discovery of potential solutions to business problems. Throughout the course, students will develop proficiency in essential tools like Python and SQL, gain a solid understanding of data modeling, and explore the practical applications of data analytics across various industries.
The curriculum caters to both beginners and professionals, offering valuable insights into the role of data analytics in today's business landscape. With career support and guidance, this program serves as a valuable steppingstone for individuals looking to kickstart or advance their careers in the field of data analytics.
Course Content
Unit 1: Excel
Unit 2: Data Analytics Foundations
Unit 3: Python for Data Science
Unit 4: SQL
Unit 5: Python for Automation
Unit 6: Python Data Visualization & Interactive Dashboards
Unit 7: Python Machine Learning Bootcamp
Unit 8: Tableau
Unit 9: POWER BI
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Our Objective
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Ultimately, our objective is to equip individuals with the knowledge and skills required to excel in information technology, enabling them to pursue successful careers in software development, networking, cybersecurity, and IT management.
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At TrainingHub.io, our trainers are the backbone of our IT training and work for Fortune 500 companies. They are experts in their respective fields, possessing deep knowledge and hands-on experience in the latest technologies.
Our trainers are not just educators; they are mentors who guide and inspire students throughout their learning journey. They employ interactive and engaging teaching methods to make complex IT concepts accessible and practical. Our trainers empower individuals to succeed in the ever-evolving IT landscape with their dedication and commitment to excellence.
Our Support
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