Data Science Master Course Training

The Data Science master's course makes the aspirant proficient in systems and tools used by Data Science Professionals. It includes training in Python for Data Science, Data Science with Python, Artificial Intelligence, SQL, and Tableau. The curriculum of the Data Science master's program has been curated by extensive research on more than 50000 job descriptions across the world.

Data Science lies at the intersection of computational science, statistical methodology, and application domains. The program offers excellent preparation in machine learning, statistical modeling, management, optimization, and analysis of data acquisition, and massive data sets. The Data Science master's program focuses on concepts like collaborative problem solving, reproducible data analysis, communication, and visualization, and ethical and security issues that arise in Data Science.

Highlights of GoLogica Training:

• Live online classes
• 24/7 Support throughout the training period
• Free study material
• Training under industry experts
• Flexible timings for all our students

What will you learn in the Data Science Master course training?

After completion of the Data Science Master program, you will learn:

Python for Data Science

• Introduction to Data Science using Python
• Math for DS-Statistics & Probability
• Python basic constructs
• NumPy for mathematical computing
• OOPs in Python (Self paced)
• Data manipulation
• SciPy for scientific computing (Self-paced)
• Machine Learning using Python
• Data visualization with Matplotlib
• Unsupervised Learning
• Supervised learning
• Python integration with Spark (Self paced)
• Time Series Forecasting
• Dimensionality Reduction

MS-SQL

• Introduction to SQL
• SQL Operators
• Database Normalization and Entity-Relationship Model
• Deep Dive into SQL Functions
• Working with SQL: Join, Tables, and Variables
• SQL Views, Functions, and Stored Procedures
• Deep Dive into User-defined Functions
• Working with Subqueries
• Advanced Topics
• SQL Optimization and Performance
• Programming Databases Using Transact-SQL
• Managing Database Concurrency
• Microsoft Courses: Study Material

Data Science with R

• Introduction to Data Science with R
• Data Manipulation
• Data Exploration
• Data Visualization
• Machine Learning
• Introduction to Statistics
• Decision Trees and Random Forest
• Logistic Regression
• Association Rule Mining and Recommendation Engines
• Unsupervised Learning
• Time Series Analysis
• Introduction to Artificial Intelligence
• Naïve Bayes
• Support Vector Machine (SVM)
• Text Mining

Data Science with R

• Introduction to Business Analytics
• Introduction to R Programming
• Data Structures
• Data Visualization
• Statistics for Data Science I
• Statistics for Data Science II
• Regression Analysis
• Classification
• Clustering

Who should take this Data Science Master Course training?

Data Science master program training is suited for:

• Data Scientists who have an interest in upgrading their skills
• Professionals who aspire to be Data Scientists in reputed companies
• Project Managers
• Software Developers
• Information Architects
• Business Intelligence and Machine Learning Professionals
• Freshers or undergraduates can also take up this training

What are the prerequisites for taking Data Science master course training?

There are no prerequisites for taking this course.

Why should you go for the Data Science master's program training?

The Data Science master's course is created keeping in mind the requirements of the industry when it comes to the Data Science domain. In this globalized era, Data Scientists must have diverse skill sets that include working with large volumes of data, using which business insights are derived, and converting data into an easily understandable format. The Data Science master's program at GoLogica lets you play numerous roles in the Data Science and Big Data domains.

Salary as per Market