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What is Data analytics?
Data analytics is the process of analyzing raw data to uncover insights, patterns, and trends that can inform decision-making and drive business growth. It involves using statistical methods, algorithms, and visualizations to extract valuable information from data sets. With the use of data analytics, businesses can boost productivity, efficiency, and competitiveness across a wide range of sectors.
Description
Data analytics reveals patterns, insights, and trends in raw data. Data analytics helps companies make educated choices and achieve a competitive edge using statistical methods and complex algorithms. It includes gathering, cleansing, and analyzing data to get business insights and boost productivity. Data analytics may reveal hidden possibilities, streamline operations, and reveal consumer and industry trends. Data analytics helps companies make data-driven choices and remain competitive in today's data-driven the environment.
SKILLS COVERED
- Data Collection & Cleaning
- Exploratory Data Analysis
- Statistical Analysis & Hypothesis Testing
- Predictive Modelling
- Machine Learning Algorithms
- Data Visualization
- Database Management
- Business Intelligence & Reporting
1. Introduction to Data Analytics
- Overview of data analytics and its applications
- Introduction to data types, sources, and data collection methods
2. Data Preparation and Cleaning
- Techniques for data cleaning and pre-processing
- Handling missing data and outliers
3. Exploratory Data Analysis (EDA)
- Descriptive statistics and data visualization
- Understanding data distributions and patterns
4. Statistical Analysis for Data Analytics
- Statistical methods for analyzing data
- Hypothesis testing and confidence intervals
5. Predictive Analytics
- Introduction to predictive modelling
- Regression analysis and time series forecasting
7. Machine Learning for Data Analytics
- Supervised and unsupervised learning algorithms
- Model evaluation and selection
7. Data Visualization and Communication
- Principles of effective data visualization
- Tools and techniques for visualizing data
8. SQL and Database Management
- Querying and manipulating data using SQL
- Relational database management systems
9. Business Intelligence and Reporting
- Creating interactive dashboards and reports
- Presenting data-driven insights to stakeholders
10. Capstone Project
- Applying data analytics techniques to solve a real-world problem
- Presenting project findings and recommendations
Advanced Certification in Data Analytics Course
- Certified Analytics Professional (CAP)
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional Certificate
- Tableau Desktop Qualified Associate
- Data Science Council of America (DASCA) Certifications
"I'm thankful that Korusliv's data analytics classes gave me a chance to learn. The program was well-organized and covered both academic ideas and how to use them in real life. The course helped me make a good move into a job in data analytics."
"I am grateful to Korusliv for their data analytics course. As a student, the course was perfectly aligned with industry requirements and provided me with the knowledge and practical experience needed to succeed. Thanks to Korusliv, I am now working in a renowned analytics firm."
| Demo Class | |
|---|---|
| 23 Nov 2024 | 08:00 AM TO 11:00 AM IST |
| 24 Nov 2024 | 08:00 AM TO 11:00 AM IST |
Key Highlights
6-month comprehensive curriculum for data analytics.
100% live sessions for an interactive learning experience.
Hands-on workstations and live projects to apply knowledge.
5 mock interviews.
Recognized certification and career support and alumni network
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