Data Science using Python and R Programming
- Offered by360DigiTMG
Data Science using Python and R Programming at 360DigiTMG Overview
Duration | 3 months |
Mode of learning | Online |
Credential | Certificate |
Data Science using Python and R Programming at 360DigiTMG Highlights
- Earn a certificate
- Additional Assignments of over 80 hours
- data science using Python and R course in USA
- Live Free Webinars
- data science using Python and R course in USA
- Resume and LinkedIn Review Sessions
- data science using Python and R course in USA
- 3 Month Access to LMS
- data science using Python and R course in USA
- 24/7 support
- data science using Python and R course in USA
- Job Assistance in Data Science Fields
- data science using Python and R course in USA
- Complimentary Courses
- data science using Python and R course in USA
- Unlimited Mock Interview and Quiz Session
- data science using Python and R course in USA
- Hands-on Experience in a Live Project
- data science using Python and R course in USA
- Life Time Free access to Industry Webinars
Data Science using Python and R Programming at 360DigiTMG Course details
- For IT Engineers
- For Data and Analytics Manager
- For Business Analysts
- For Data Engineers
- For Banking and Finance Analysts
- For Marketing Managers
- For Supply Chain Professionals
- For HR Managers
- For Math, Science and Commerce Graduates
- Work with various data generation sources
- Perform Text Mining to generate customer Sentiment analysis
- Analyse Structured and Unstructured data using different tools and techniques
- Develop an understanding of Descriptive and Predictive Analytics
- Apply data-driven, Machine Learning approaches for business decisions
- Build prediction models for day-to-day applicability
- Perform forecasting to take proactive business decisions
- Use Data Visualisation concepts to represent data for easy understanding
- The aim of this course is to help students learn, understand, and explore analytics and machine learning approaches
- In this course, students will learn to handle numerical information, visualize the findings and create images to understand the insights from the data and make predictions or informed decisions
- Learner will explore all fundamentals and various methods within data science which includes data processing, data extraction, statistics, descriptive and predictive analytics and machine learning approaches using Python and R
- Learner will also analyze and relate to various data generation sources and evaluate different storage and data processing technologies
- This training also contributes to enhancing the communications skills of students who will be presenting and communicating their findings of comprehensive data analysis using Data Visualization for easy understanding and communication
Data Science using Python and R Programming at 360DigiTMG Curriculum
1. Application of Data Science across Industries, Sectors and Domains
2. Project Management overview of handling Data Science projects
3. Data Preparation, Data Cleansing, Exploratory Data Analysis
4. Feature Engineering, Feature Extraction, Feature Selection
5. Hypothesis Testing, Regression Techniques
6. Predictive Modelling using Advanced Regression Techniques
7. Data Mining Unsupervised - Clustering, Association rules etc
8. Text Mining, Natural Language Processing
9. Data Mining Supervised/Machine Learning Algorithms
10. Black box techniques – Neural Networks, SVM etc
11. Time Series Analysis/Forecasting
12. Object oriented programming using Python
13. End to end model deployment using Python and R