Data Science training course will enable you to gain expertise in Python, Data Science & Analytics, Tensorflow, Data analysis, Machine learning algorithms, Deploying R statistical computing, Naïve Bayes, K-Means Clustering, Connecting R with Hadoop framework, Business analytics, Time-series analysis and more to add. After undergoing a complete Data Science classroom and online training know the project life cycle, statistical methods, and data acquisition coupled with data experimentation, transformation, and evaluation.
After completing the Data Science training classes, the learners will know the following aspects:
- Know Machine Learning Algorithms and Data Science Life Cycle
- Know distinct data transformation techniques and tools
- Execute Text Mining on text data
- Know Data visualization and optimization techniques
- Responsibilities of a Data Scientist
- How to integrate R with the Hadoop framework?
- Logistic and Linear regression
- Clustering, prediction, and analysis segmentation,
- How to execute Recommender systems?
- Plotting techniques, Data interpretation, and sampling methods
- Importance of Data Science
- Data Acquisition Concepts
- Learn data mining, structures, and manipulation
Getting certified in Data Science training is beneficial for Machine Learning, Data Analyst and Business Intelligence Professionals, Predictive Information and Analytics Architects, Data Statisticians and Data Science career aspirants.