Course description
Data is the new oil. Businesses worldwide generate record amounts of data daily; in many cases, they don’t know what to do with it. That’s a huge missed opportunity. In the past, businesses could rely on their customers to provide information. With the onset of the internet, businesses have captured a wealth of additional data about their customers and operations. This data has become a valuable resource for businesses, yet it is often underutilized. Businesses have long understood the importance of data, with the largest companies in the world spending millions of dollars on information management every year. But data has become so abundant that companies can no longer afford to store and analyze it; they need to find ways to make the most of it to drive growth. That means going beyond the traditional approach of storing and analyzing data. It implies turning data into actionable information that can be used to make business decisions.
Why learn advanced data analysis?
As more and more companies realize the importance of becoming data-driven businesses to survive in the modern economy, the demand for advanced data analysis is on the rise. And why not? The ability to use data to make informed decisions can have a significant impact on a company’s bottom line. As data analytics becomes more sophisticated, the ability to turn data into actionable information will become even more critical. Data scientists are in high demand, with salaries of $200,000 and up being common. Data analysts can perform basic data analysis but lack the background to add significant value and command high salaries. Meanwhile, those with the proper training and experience can find salaries in the high six figures or even higher.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
Rcademy’s Advanced Data Analysis Certification Course is ideal for data-oriented individuals as well as enthusiasts such as:
- Data Managers
- Business Analysts
- Business architects
- Project manager
- IT professionals
- Graduates and Scholars
- Entrepreneurs
Outcome / Qualification etc.
Rcademy’s Data Analysis Certification Course is aimed at the following objectives:
- To inculcate enhanced and quick decision-making through the use of Advanced Data Analysis
- To learn to use advanced data analysis for detecting risk and fraud
- To gain accuracy and efficiency in forecasting
- To take advantage of Advanced Data Analysis for automating business operations
- To gain better insights into analytical and business scenarios with the help of Advanced Data Analysis tools
- To transform the organization into a proactive unit instead of a reactive enterprise by being ready beforehand through Advanced Data Analysis
- To gain knowledge of different types of analysis available to perform on business situations
- To deal with data acquisition efficiency and enhance access to data
- To gain hands-on knowledge of various data analysis techniques and their applicability in daily life
- To use Advanced Data Analysis for not only identifying business opportunities but also detecting potential threats in the market
- To gain a competitive edge over others in the market with Rcademy’s Data Analysis Certification Course
Training Course Content
Module 1: Types of data analysis
- Descriptive analysis
- Predictive analysis
- Diagnostic analysis
- Exploratory analysis
- Use cases of Advanced Data Analysis
- Phases of Data Analysis
Module 2: Big Data
- Big data platform
- Nature of data
- Intelligent data analysis
- Analysis vs reporting
- Mining data streams
Module 3: Machine Learning Techniques
- Generative learning
- Classification methods: Linear discriminant analysis
- Markov model
- Neural networks
Module 4: Database Revolution
- System architecture
- Relational database
- Transaction management
- Data warehouse and data mining
- Distributed database patterns
- Non-relational distributed database
Module 5: Graph Analysis
- Large-scale graph
- Co-occurrence graphs
- Graph data structures
- Social networking algorithms
- V-graph representation
Module 6: Data Acquisition
- OLTP and OLAP
- Data similarity and dissimilarities
- Data extraction process
- Data cleaning
- Data transformation
- Data reduction
Module 7: Advanced Data Analysis Techniques
- Regression analysis
- Classification analysis: decision tree
- Supervised learning
- Clustering analysis
- Unsupervised learning
- Association rule mining
- Anomaly detection analysis
- Application of techniques in business problem solving
Module 8: Deep Learning
- Convolutional neural networks
- Memory-augmented neural networks
- Deep reinforcement learning
- Markov decision process
- Application of deep learning in business
Module 9: Data Analysis with Excel
- Data consolidation
- What-if analysis
- Importing and exporting data
- Creating the data model
- Pivot table
- Defining key performance indicators
Module 10: Data Visualisation
- Charts and plots
- Multivariate data visualization
- Visualization techniques: pixel, geometric, icon-based, hierarchical visualization
- Visualization tools
Module 11: Web Analytics
- Basics of web intelligence
- Qualitative analysis: site visits, surveys, questionnaires
- URLs, cookies, navigation reports, search analytics
- SEO
- Google Analytics
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Rcademy
Rcademy is a global training and consultation organisation set out to bridge the gap between you now and what you can be in the near future. We are facilitators of knowledge impartation. Our team of established and experienced training enthusiasts...