Advanced Data Science Masters Program

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Last Update April 27, 2024
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    All Levels
    Duration 200 hours

    About This Course

    Are you ready to start a career as a Data Scientist ?

    The “Data Science Master’s Program is a transformative course designed to equip you with the necessary skills and expertise to thrive in the exciting world of data science. This comprehensive program has been meticulously crafted to cater to both aspiring data scientists and professionals seeking to enhance their analytical prowess.Our comprehensive Data Science Master’s Program empowers learners to excel in the dynamic field of data science. With a strong foundation in statistics and programming,The program covers a wide range of machine learning algorithms, big data processing, and advanced analytics, preparing students for real-world challenges. Engaging in real-world projects, participants receive personalized feedback and career guidance, enhancing their employability. Join the data science revolution today and unlock the true potential of data with our transformative program.

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      Masters program in Data Science Course Syllabus
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        Python for Data Science


        Learning Objective: Master the foundations of Python for Data Science in this course. Learn essential Python programming concepts, Python Data Structures, OOPS Concepts and Basics of Time Complexity. Gain hands-on experience through real-world projects. Build a strong foundation for advanced data science topics and applications.

        Course Content
        • Flowcharts, Data Types, Operators
        • Conditional Statements & Loops
        • Functions & Strings
        • In-built Data Structures – List, Tuple, Dictionary, Set, Matrix, Algebra, Number Systems
        • Basics of Time and Space Complexity
        • OOPS concepts for programming
        • Functional Programming
        • Exception Handling and Modules
        • Unix commands, shell scripting and hands-on practice
        • Data Analysis using Python​

        SQL Foundations and Mastering Data Analysis


        Learning Objective:  Master the fundamentals of SQL, including data querying, filtering, aggregation, and joins. Learn to perform data analysis using SQL, clean and transform data, and gain hands-on experience through real-world projects. Become proficient in SQL and unleash the power of data analysis for making informed decisions.

        Course Content
        • Data types – Structured, semi-structured, unstructured
        • Database concepts – Tables, views
        • SQL Queries
        • Advanced SQL – Joins, injections, handling duplicates
        • SQL for Data Analysis

        Data Analysis Using MS Excel


        Learning Objective: Master Excel Foundations and Data Analysis using MS Excel. Learn data manipulation, visualization, advanced formulas, and statistical analysis in Excel. Acquire practical experience through real-world projects and unleash the power of Excel for insightful data interpretation and decision-making.

        Course Content
        • Excel Fundamentals
        • Charts and Visualizations
        • Data Analysis and Manipulation
        • Excel Power Tools
        • VBA Macros
        • Classification Problems with Excel
        • Data Visualization
        • Regression Problems with Excel
        • Excel for Data Analytics

        Statistics and Linear Algebra


        Learning Objective: Master the concepts of Statistics and Linear Algebra. Learn fundamental statistical concepts, data analysis techniques, and linear algebra fundamentals. Apply these skills to real-world applications and develop problem-solving abilities for data-driven decision-making.

        Course Content
          • Types of Graphs
          • Descriptive Statistics
          • Inferential Statistics
          • Probability
          • Math For Machine Learning

        Machine Learning


        Learning Objective: Master the  Machine Learning Fundamentals, algorithms, and techniques. Learn data preprocessing, model evaluation, and feature engineering. Apply machine learning concepts to real-world projects and build expertise in deploying models for various applications.

        Course Content
        • Machine Learning Foundations
        • Supervised Learning
        • Unsupervised Learning and Recommender Systems
        • Time Series Analysis

        Artificial Intelligence


        Learning Objective: Master the  Artificial Intelligence fundamentals, including Deep Learning, Neural Networks and Natural language Processing. Learn to build AI models, understand ethical considerations, and apply AI concepts to real-world projects, preparing for the future of this rapidly evolving field.

        Course Content
        • Deep Learning using Tensorflow
        • Neural Networks
        • Natural Language Processing

        Deploy Machine Learning Models on Cloud


        Learning Objective: Learn how to deploy machine learning models on cloud platforms. Master cloud computing fundamentals, model packaging, and API development. Acquire skills to ensure scalability, security, and optimal performance of deployed models, and apply concepts to real-world projects for seamless integration with applications.

        Course Content
        • AWS Fundamentals 
        • Sagemaker for ML
        • MLOps
          • Streamlit
          •  Flask
          • Containerisation, Docker
          • Experiment Tracking
          • MLFlow

        Master the Concepts Of Data Engineering


        Learning Objective: Master the Data Engineering Concepts. Learn data modeling, integration, and big data processing. Acquire skills in cloud data engineering, real-time data streaming, and database optimization. Apply concepts to real-world projects for hands-on experience in building efficient data pipelines and data-driven solutions.

        Course Content
        • BigData Foundations
        • Data Processing Using Hadoop 
        • Apache Spark for Data Processing

        Business Intelligence Using Power BI


        Learning Objective: Master the Business Intelligence using Power BI. Learn data visualization, transformation, and modeling. Acquire skills in DAX formulas, real-time data analysis, and report creation. Apply Power BI concepts to real-world projects and make data-driven decisions with interactive dashboards and reports.

        Course Content
        • Business Intelligence
        • Power BI Foundations
        • Power Query in Power BI
        • Dax Functions for Power BI

        Version Control and CI/CD


        Learning Objective: Master the concepts of  Version Control and CI/CD. Learn Git fundamentals, collaborative development, and automated testing. Familiarize yourself with popular CI/CD tools and best practices to streamline software development and deployment processes. Apply concepts to real-world projects for efficient code management and accelerated software delivery.

        Course Content
        • Git

        Tools Covered

        Job market overview

        Average Salary for Data Scientist
        image 257d7c85b7
        Ready to start the career as a Data Scientist ?

        With an average salary of $116,027 per year and a total estimated pay of $146,422 per year, the role is not only financially rewarding but also intellectually stimulating. As a Data Scientist, you will be responsible for designing and implementing complex Data solutions for businesses, including system architecture, security, and performance optimization.

        Our training program is designed to help you master the skills needed to become a successful Data Scientist. Our training program is designed to be interactive and collaborative, giving you the opportunity to learn from experienced Data Science Experts and network with like-minded individuals.
        Now, What are you waiting for? Take the first step towards a rewarding career as a Data Science.
        Enroll in our training program today and start your success story with us!

        What you will learn

        By the end of this course, you’ll develop a strong foundation in Python Programming, SQL and Excel data analysis, machine learning, and data visualization. Gain practical skills to tackle real-world data challenges, build predictive models, and create insightful visualizations. Understand the ethical implications, unlocking new career opportunities in analytics, AI, and data-driven industries.

        Course Format
        • Live classes
        • Hands-on trainings
        • Mini-projects for every module
        • Recorded sessions (available for revising)
        • Collaborative projects with team mates in real-world projects
        • Demonstrations
        • Interactive activities: including labs, quizzes, scenario walk-throughs
        What this course includes
        • 200+hrs of live classes
        • Collaborative projects
        • Slide decks, Code snippets
        • Resume preparation from the 2nd week of course commencement
        • 1:1 career/interview preparation
        • Soft skill training
        • On-call project support for up to 3 months
        • Certificate of completion
        • Free access to our exam engines

        Our students work at

        • CS/IT degree or prior IT experience is highly desired
        • Basic Understanding of MS Excel, Python Programming and SQL Querying

        Why Take Course With Us

        • Project-Ready, Not Just Job-Ready!

        By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.

        • Authentic Data For Genuine Hands-On Experience

        Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.

        • Personalized Career Preparation

        We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.

        • Multiple Experts For Each Course

        Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.

        • On-Call Project Assistance After Landing Your Dream Job

        Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.

        • A Vibrant and Active Community

        Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.

        Course Completion Certification

        DataScience Certificate


        Who are the target audience for this masters program?

        This course is designed for students, developers, IT professionals, database administrators, freelancers and solutions architects who are interested to advance their careers in cloud computing and AWS.

        What are the prerequisites?
        • A degree in Computer Science or IT is preferred, but not required.
        • Basic programming skills and aware of cloud computing concepts.
        What is the duration of the AWS Solutions Architect masters program?

        The duration of the live training session is approximately 200+ hours, which includes hands-on labs, interactive quizzes, assessments, mini-projects, collaborative real-world capstone projects etc.

        Will I receive a certificate upon completion?

        Yes, you will receive a certificate of completion at the end of the program.

        Can I attend the live sessions if I miss a class?

        Yes, all live sessions will be recorded and made available for you to view at a later time.

        Will there be any mini-projects and assessments?

        Yes, there will be mini-projects and assessments to help you reinforce your learning and assess your understanding of the course material. Also, you will have a collaborative capstone-project that has a real-world setting.

        What tools and technologies will be covered in the course?

        The course will cover a range of tools and technologies in AWS cloud compute, networking, security, storage, database services, etc.

        Will there be opportunities for hands-on learning?

        Yes, the approach of the course in itself is based on more of hands-on training and exercises to help you apply what you learn in a real-world setting. In addition, you will also have collaborative projects as how it is done in IT world, to provide you realistic experience.

        What kind of support will I receive during the program?

        You will have access to the instructor, a lab team, and a personal learning manager who can assist you with any queries or concerns you may have throughout the course. Additionally, a dedicated customer success manager will ensure that you have a successful end-to-end journey. Support is guaranteed from day one and before.

        Can I interact with other students taking the course?

        Yes, you will have the opportunity to collaborate with other students taking the course on real-world projects, just like how it’s done in the IT industry. These collaborative projects will help you apply the concepts you learn in a practical setting and gain hands-on experience working in a team.

        What is the format of the program?

        The program includes live classes, hands-on training, mini-projects for every module, recorded sessions, collaborative projects, demonstrations, and interactive activities.

        Is the program suitable for beginners in AWS?

        Yes, the program is designed for both beginners and experienced professionals.

        Does the program provide career support?

        Yes, the program includes resume preparation from the second week of the course commencement, 1:1 career/interview preparation, and soft skill training.

        What is the level of difficulty of the program?

        The program covers a wide range of topics, from beginner to advanced level, and is suitable for learners with different levels of experience. Never worry of your success journey with us, as long as you give your consistent effort. At Datavalley, we create high-performing data experts.

        Can the program help me prepare for the AWS Certified Solutions Architect certification exam?

        Yes, the program helps you prepare for the AWS Certified Solutions Architect certification exam, as it covers the essential topics required for the certification. Also, we give you access to our exam engines to check your expertise before taking the actual certification exam.

        Upfront Payment

        33% off

        Pay upfront and save 33% on tuition fee

        INR 89,000
        INR 60,000

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          Monthly Payment

          35% off

          Pay monthly and save 35% on tuition fee

          INR 11,000
          Total up to 66,000

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              Learning Objectives

              Understand the AWS data ecosystem and how to use various services and tools to build data engineering pipelines
              Write Python and SQL queries to perform data transformations and analytics
              Setting up local development environment for AWS on windows/mac
              Learn how to store and manage large volumes of data using AWS S3
              To secure your AWS resources using IAM
              Use PySpark for Big Data Analysis
              Data ingestion using Lambda Functions
              Populating DynamoDB table with data
              Perform ETL operations on large datasets using AWS Glue and Lambda
              Build scalable and efficient data processing workflows using PySpark and EMR
              Understand and utilize various data warehousing and data querying techniques using Redshift and Athena
              Learn how to ingest real-time data streaming pipelines using Kinesis

              Target Audience

              • Computer Science or IT Students is highly desirable
              • or other graduates with passion to get into IT
              • Data Warehouse, Database, SQL, ETL developers who want to transition to Data Engineering roles
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              Fill out a form, and get PDF curriculum delivered straight to your inbox. Accelerate your learning journey on our platform

                Data Science

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