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Data Science Course

Data Science Course

Learn digital visual effect, motion graphics and Animation

Learn data science course in Vadodara with covering topics Programming Fundamentals, Structures and Algorithms for Data, Statistical Analysis, Data Preparation, Data Visualization, Machine Learning, and Big Data Technologies. Whether you're a novice or aspiring data scientist, our program provides a strong foundation in programming, statistical analysis, and the essential skills needed to handle large datasets. Join us in Vadodara for a transformative learning experience in the dynamic field of data science.

Starts from ₹30,000 ₹5000

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    2 Months

    80 hours of


    No prior experience


    Certificate of

    Job Placement

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    What Will You Learn in Data Science Course

    • Understand statistical concepts for data analysis.
    • Develop Python coding skills for data science.
    • Learn data cleaning and organization techniques.
    • Acquire knowledge of machine learning algorithms.
    • Master data visualisation for effective communication.
    • Familiarise with Big Data tools like Hadoop and NoSQL databases.
    • Gain expertise in regression, clustering, and classification.
    • Extract actionable insights for valuable business intelligence.
    • Design and conduct experiments for meaningful data analysis.
    • Explore ethical considerations and enhance communication skills for non-technical stakeholders.

    Course Content

    • Overview of Data Science Course
    • Importance of Data Science Course
    • Essential Programming Principles
    • Fundamental Algorithms
    • Techniques for Debugging
    • Analysis of Algorithmic Complexity
    • Optimising Code
    • Essential Data Types
    • Sophisticated Data Structures
    • Algorithms for Sorting and Searching
    • Traversal of Graphs and Trees
    • Understanding Probability Distributions
    • Overview of Descriptive Statistics
    • Methods for Inference
    • Testing Hypotheses
    • Conducting Regression Analysis
    • Methods of Gathering Data
    • Refining Untidy Data
    • Managing Absent Values
    • Techniques for Data Transformation
    • Conducting Exploratory Data Analysis
    • Varieties of Charts & Choosing Appropriate Ones
    • Tools for Visualization
    • Creating Interactive Dashboards
    • Principles of Data Aesthetics
    • Crafting Compelling Narratives with Data
    • Foundations of Supervised Learning
    • Approaches to Unsupervised Learning
    • Essentials of Neural Networks
    • Regression and Classification Techniques
    • Metrics for Evaluating Models
    • Introduction to the Hadoop Ecosystem
    • Overview of NoSQL Databases
    • Methods for Data Ingestion
    Analysis of Statistics Machine learning Preparing Data Programming Fundamentals Structures and Algorithms for Data Technologies for Handling Large Datasets Visualizing Data

    Trending App and Web Development in

    At eCare Upskill, we provide high-quality courses covering a diverse range of subjects and interests such as programming, digital marketing, business management, design, and many more.

    Meet your Expert Trainer

    Hi, I'm

    Neel Parmar


    Hi, I'm Neel Parmar, an experienced graphic designer passionate about creating visually stunning designs that capture the essence of a brand. With my expertise in design, technology, and creativity, I can craft high-quality designs that meet client needs and stand out from the competition. Let's embark on an exciting journey into the world of graphic design together, whether you're just starting or looking to expand your skill set.


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    Frequently Asked Questions

    A Data Science Course is an educational program designed to impart knowledge and skills related to the field of data science. It covers a range of topics, including programming, statistical analysis, machine learning, and data visualization, aiming to equip individuals with the expertise needed to extract valuable insights from data.

    The salary for individuals who have completed a data science course can vary based on factors such as experience, location, and industry. Generally, data science professionals are in high demand, and competitive salaries are offered, reflecting the importance of their skills in today's data-driven business landscape.

    Yes, freshers can secure jobs in data science. While experience is valuable, many organizations offer entry-level positions or internships for individuals who have completed a data science course. Building a strong portfolio, gaining practical experience, and showcasing relevant skills can enhance the chances of securing a job in this field.

    Completing a data science course significantly enhances your job prospects in the field. Organizations across various industries are actively seeking professionals with data science skills. Successful completion of a course, coupled with practical experience and a strong understanding of data science concepts, increases your chances of securing a job in this growing field.

    The future of data science looks promising, with increasing reliance on data-driven decision-making across industries. As technology advances and more data becomes available, the demand for data scientists is expected to grow. The field is evolving with emerging technologies like artificial intelligence and machine learning, further expanding the scope and opportunities in the future.

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