Data Analytics
ECOT Data Analytics Certificate offers basic knowledge of data analysis including data gathering and data mining, and the data ecosystem.
(Installment Options Available)
Starting Date
16 Dec, 2024
Introduction
The Data Analytics Certificate offers an introduction to data analysis concepts, the job of a data analyst, and the tools employed in routine tasks. You will learn the basics of data analysis, such as data gathering and data mining, as well as the data ecosystem. The soft skills needed to effectively convey your data to stakeholders will next be covered, along with how mastering these abilities can enable you to make decisions based on data. The next step is to identify the key players in the data ecosystem and investigate the various technologies available both locally and online. Explore more of this thrilling voyage and learn about Hadoop, Hive, and Spark, three popular big data technologies. With the help of this certificate, you will be able to picture what a data analyst does on a daily basis, comprehend the various career options in data analytics, and locate the numerous resources that are available to help you become an expert in this field.
The basics of data collection will be explored, and you'll discover how to identify your data sources. The usage of visualizations and dashboard tools will next be covered as you learn how to clean, analyze, and share your data. All of this is brought together in the final project, which will evaluate your understanding of the certificate material, investigate what it means to be a Data Analyst, and present a real-world data analysis problem. Scope of Data Analytics
If you are considering a job in data analytics. You can prepare for a position as a data analyst by earning a certification in data analytics, which will provide you with all the skills and knowledge required.
REQUIREMENTS:
- Intermediate/O/A-levels
- Basic Programming Skills
- Basic Computer Skills
CURRICULUM:
| Week | Lecture | Topics |
|---|---|---|
| 1 | 1 | Introduction to Data and Data Analytics |
| 2 | 2 | Data Structures and Algorithms |
| 3 | 3 | Probability and Statistics Concepts |
| 4 | 4 | Relational Database Management System Concepts |
| 5 | 5 | Business Fundamentals |
| 6 | 6 | Text Analysis |
| 7 | 7 | Data Collection |
| 8 | 8 | Data Visualization |
| 9 | 9 | Statistical Analysis |
| 10 | 10 | Forecasting Data Analysis |
| 11 | 11 | Mid Term Paper |
| 12 | 12 | Supply chain Analytics |
| 13 | 13 | Customer Analytics |
| 14 | 14 | Retail Analytics |
| 15 | 15 | Social Networking Analysis |
| 16 | 16 | Pricing Analysis |
| 17 | 17 | Marketing Analysis |
| 18 | 18 | Optimization |
| 19 | 19 | Data Reduction and Normalization |
| 20 | 20 | Big Data Analytics |
| 21 | 21 | Machine Learning |
| 22 | 22 | Simulation |
| 23 | 23 | Final Project |
| 24 | 24 | Final Term Presentation |
Outcomes:
- Work with data analysis tools
- Work with data visualization, normalization and big data
- Work as a data analyst
BENEFITS:
- To learn data analysis and data visualization
- Working with Bigdata platforms
Affiliation & Collaboarations
- compulsory internship component of Full stack development