Dell Data Science Foundations
Certification Overview
This certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills required by a Data Scientist.
Exam Number:
D-DS-FN-23Avalable Languages:
EnglishCourse Details
1. Big Data, Analytics, and the Data Scientist Role
- Define and describe the characteristics of Big Data
- Describe the business drivers for Big Data analytics and data science
- Describe the Data Scientist role and related skills
2. Data Analytics Lifecycle
- Describe the data analytics lifecycle purpose and sequence of phases
- Discovery - Describe details of this phase, including activities and associated roles
- Data preparation - Describe details of this phase, including activities and associated roles
- Model planning - Describe details of this phase, including activities and associated roles
- Model building - Describe details of this phase, including activities and associated roles
3. Initial Analysis of the Data
- Explain how basic R commands are used to initially explore and analyze the data
- Describe and provide examples of the most important statistical measures and effective visualizations of data
- Describe the theory, process, and analysis of results for hypothesis Advanced Analytics - Theory, Application, and Interpretation of Results
4. Eight Methods
- K-means clustering
- Association rules
- Linear regression
- Logistic Regression
- Naïve Bayesian classifiers
- Decision trees
- Time Series Analysis
- Text Analytics
5. Advanced Analytics for Big Data - Technology and Tools
- Describe the technological challenges posed by Big Data
- Describe the nature and use of MapReduce and Apache Hadoop
- Describe the Hadoop ecosystem and related product use cases
- Describe in-database analytics and SQL essentials
- Describe advanced SQL methods: window functions, ordered aggregates, and MADlib
6. Operationalizing an Analytics Project and Data Visualization Techniques
- Describe best practices for communicating findings and operationalizing an analytics project
- Describe best practices for building project presentations for specific audiences
- Describe best practices for planning and creating effective data visualizations
| Fees Structure : | 12500 INR / 150 USD |
| Total No of Class : | 30 Video Class |
| Class Duration : | 19:30 Working Hours |
| Download Feature : | Download Avalable |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
| Fees Structure : | 18500 INR / 220 USD |
| Class Duration : | 30 Days |
| Class Recording : | Live Class Recording available |
| Class Time : | Monday to Firday 1.5 hours per day / Weekend 3 Hours per day |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
