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Data Analytics
About This Course
Data Analytics is the process of examining, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves techniques such as data mining, statistical analysis, and machine learning to uncover patterns and trends in datasets. With the rise of big data, businesses and organizations rely on data analytics to optimize operations, improve customer experiences, and make data-driven decisions. Tools like Python, R, SQL, and platforms such as Power BI and Tableau are commonly used to perform complex analyses. Data analytics is crucial across industries, from finance and healthcare to marketing and e-commerce.
Learning Objectives
Understand the fundamentals of data analytics and the different types (Descriptive, Diagnostic, Predictive, Prescriptive).
Learn the complete data analytics process, including data collection, cleaning, analysis, and visualization.
Master data visualization tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn).
Understand advanced analytics techniques such as time series analysis, cluster analysis, and natural language processing (NLP).
Apply data analytics skills to real-world business problems and case studies.
Material Includes
- Downloadable Resources – Course slides, cheat sheets, and practice datasets.
- Hands-on Exercises – Practical assignments and real-world case studies.
- Video Tutorials – Step-by-step guides for key concepts and tools.
- Support – Access to Q&A discussions and instructor feedback.
- Certificate of Completion – Recognize your achievement with a completion certificate.
Requirements
- Laptop or PC with access to the internet.
- Basic knowledge of Excel is recommended but not required.
- Software – Install Python, R, or any other recommended tools (will be specified in the course).
- No prior programming skills needed, but a willingness to learn and practice is essential.
- Enthusiasm to explore the world of data and discover actionable insights from datasets.
Target Audience
- Beginners – No prior experience in data analytics or programming required.
- Aspiring Data Analysts – Learn data analysis techniques and tools to pursue a career in the field.
- Business Analysts – Enhance your data analysis skills for better decision-making in business.
- Data Enthusiasts – Anyone interested in learning how to analyze and visualize data effectively.
- Students and Professionals – Individuals looking to build or improve their data analytics skills.
Curriculum
8 Lessons48h
Data Analytics
Module 1: Introduction to Data Analytics
Module 2: Data Collection and Preparation
Module 3: Exploratory Data Analysis (EDA)
Module 4: Statistical Analysis
Module 5: Predictive Analytics and Machine Learning
Module 6: Data Visualization
Module 7: Advanced Data Analytics
Module 8:Final Project and Evaluation
Your Instructors
Aiwoox
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₹4,999.00₹5,500.00
Material Includes
- Downloadable Resources – Course slides, cheat sheets, and practice datasets.
- Hands-on Exercises – Practical assignments and real-world case studies.
- Video Tutorials – Step-by-step guides for key concepts and tools.
- Support – Access to Q&A discussions and instructor feedback.
- Certificate of Completion – Recognize your achievement with a completion certificate.
