Artificial Intelligence (AI),
Coding,
Data Science,
Machine Learning,
Online Course
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Data Scientist is a domain that assists with solving complex and puzzling issues through data by collecting and analyzing the perfect solutions extracted using modern tools and techniques.
The data science training includes a combination of multiple domains including scientific method, artificial intelligence, statistics, and data analysis. All these combined help in extracting the data to understand the changes to integrate the perfect business process. The Data Science program offers complete industry mentorship covering 6 specializations with a blend of tools, analytics, machine learning, and business acumen. The program is dedicated to providing complete career support providing hands-on experience over 14 programming tools.
- Data Science Generalist
- Data science engineer
- Natural Language processing
- Data analytics and Business intelligence
- Business Analytics
- Deep Learning
- Module 1 : Python for Data Science
- Introduction To Python
- Python Keyword and Identifiers
- Introduction To Variables
- Python Data Type
- Control Structure & Flow
- Python Function, Modules and Packages
- Python Date Time and Calendar:
- List
- Tuple
- Dictionary
- Sets
- Strings
- Python Exception Handling
- Python File Handling
- Python Database Interaction
- Contacting user Through Emails Using Python
- Reading an excel
- Complete Understanding of OS Module of Python
- Module 2 : Data Analysis and Visualization
- Data Analysis and Visualization using Pandas.
- Statistics
- Pandas
- Data Analysis and Visualization using NumPy and MatPlotLib
- NumPy
- MatPlotLib
- Introduction to Data Visualization with Seaborn
- Introduction to Seaborn
- Visualizing Two Quantitative Variables
- Visualizing a Categorical and a Quantitative Variable
- Customizing Seaborn Plots
- Module 3 : MS SQL and SQL
- SQL Server Fundamentals
- SQL Server 2019 Database Design
- SQL Tables in MS SQL Server
- Data Validation and Constraints
- Views and Row Data Security
- Indexes and Query tuning
- Stored Procedures and Benefits
- System functions and Usage
- Triggers, cursors, memory limitations
- Cursors and Memory Limitations
- Transactions Management
