Data Science
COURSE OVERVIEW
Data scientist is one of the highly paid job these days. In this course you will step-by-step learn all the required technologies required to become a successful data-scientist. This course includes: Data Programming, Statistics, NLP, Machine Learning, Business Intelligence, Real world projects and more…
- Introduction to Data Science
- Data Collection and Cleaning
- Exploratory Data Analysis (EDA)
- Data Analysis and Machine Learning
- Big Data and Distributed Computing
- Model Deployment and Productionization
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Time Series Analysis
- Data Visualization and Communication
- Ethics and Bias in Data Science
- Future Trends in Data Science
DCA + Basic Python Programming Knowledge
8 Months
1. Advanced Data Analysis Skills
2. Predictive Modeling Techniques
3. Machine Learning Algorithms
4. Data Visualization Proficiency
5. Big Data Handling Capabilities
6. Real-World Data Analysis Projects
7. Statistical Analysis Expertise
8. Data Mining and Pattern Recognition Skills
9. Business Intelligence Applications
10. Career Opportunities in Data Science
Content
Eligibility
Duration
Achievement
Content
- Introduction to Data Science
- Data Collection and Cleaning
- Exploratory Data Analysis (EDA)
- Data Analysis and Machine Learning
- Big Data and Distributed Computing
- Model Deployment and Productionization
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Time Series Analysis
- Data Visualization and Communication
- Ethics and Bias in Data Science
- Future Trends in Data Science
Eligibility
DCA + Basic Python Programming Knowledge
Duration
8 Months
Achievement
1. Advanced Data Analysis Skills
2. Predictive Modeling Techniques
3. Machine Learning Algorithms
4. Data Visualization Proficiency
5. Big Data Handling Capabilities
6. Real-World Data Analysis Projects
7. Statistical Analysis Expertise
8. Data Mining and Pattern Recognition Skills
9. Business Intelligence Applications
10. Career Opportunities in Data Science
Note - Download brochure for detailed course syllabus.
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