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Happy StudentsSQL Course is the perfect place to start if you are new to the world of database programming or database administration. In addition to learning basic SQL commands and syntax - such as how to insert, update, and delete information from tables - users will be able to practice those same commands through our free online SQL interpreter. Enter SQL commands to receive immediate results and experiment to better understand how database concepts such as table drops and table selects work.
If you are already familiar with the basics of SQL, you can still use this database course as a refresher and practice common SQL commands and statements.
Personalized guidance between a mentor and mentee for focused skill development and learning support.
Ongoing real-world projects with deadlines, client-driven, hands-on, and collaborative for practical learning experiences.
Hands-on application of knowledge and skills in real-world situations, enhancing learning and expertise development.
This module helps you take your first steps towards becoming a successful Data Scientist. You will be introduced to the fundamentals of MS Excel, Learn about formatting concepts, formulas and Statistical Analysis using Excel, Learn the meaning and utility of algorithms, loops, and flow charts, Understand how computers, operating systems, and the World Wide Web works.
In this module you will learn how to store, manipulate, and retrieve the data along with the advanced visualisation techniques using Matplotlib, Seaborn and Plotly. You will master converting the raw data into high order operations and perform analysis using NumPy and Pandas.
During this module you'll learn about linear algebra and calculus and their applications in Data Science, You'll also get a comprehensive understanding of Machine Learning, Linear Regression, Naïve Bayes and Support Vector Machine along with understanding the difference between Bagging and Boosting in Machine Learning.
Discover the various elements of the Hadoop Ecosystem and how they can be used to solve Big Data problems. Understand how Relational Data Processing works in Spark and perform real-time Stream Processing using Apache Spark and with Amazon Kinesis. You will then get a thorough understanding of Spark SQL and Understand how to deploy Machine Learning models to make inferences using Amazon SageMaker.
This module strengthen your fundamentals of Natural Language Processing (NLP) and provides the hands-on experience with TextBlob and then Spacy. You will be performing sentimental analysis and creating chatbots and gain in depth understanding of Deep Learning, TensorFlow, and how Neural Networks work. You will also gain the exposure of understanding the application of AI in the real world.
Explore the fundamental techniques of Algorithm Analysis, Linked Lists and Binary Trees. You will also learn about the Advanced Data Structures and how to analyze the Asymptotic Performance of Algorithms. Learn Algorithmic Design Paradigms and Methods of Analysis and Microservices Architecture and its Implications.
Benefits of this service:
Now code with confidence, triumph over doubts, and level up your skills!
Boost your coding street cred! Excel in the tech landscape with our comprehensive course and prestigious certificates that open doors to endless opportunities.
Perks of our certificates:So get ready to experience the transformative power of our certificate and showcase your excellence!
Why our mentors are the best:
Gain the invaluable expertise they have to offer and become a proficient coder!
Day 1-2: Introduction to SQL
Day 3-4: Basic SQL Queries
Day 5-7: Basic Data Operations
Day 1-2: Working with Multiple Tables
Day 3-4: Grouping and Aggregating Data
Day 5-7: Subqueries and Nested Queries
Day 1-2: Advanced Functions and Operators
Day 3-4: Indexing and Optimization
Day 5-7: Transactions and Concurrency
Day 1-2: Stored Procedures and Functions
Day 3-4: Triggers and Views
Day 5-7: Capstone Project
Certificate Course in Data Science
Total Course fee including GST
6th Aug, 2024
Avg. Salary: 14.4 LPA*
Avg. Salary: 11.1 LPA*
Avg. Salary: 20.3 LPA*
Avg. Salary: 11.6 LPA*
Our experienced staff will call at a time that suits you, up to five working days in advance.
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