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Data science and Data Anlytics

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Lesson 12 Students 60+ Beginner to Expert

Data science and Data Anlytics

Our Comprehensive Training Modules

Welcome to Tandem Informatics, where we equip you with cutting-edge skills across various domains essential for thriving in today's technology-driven world. Our training modules are designed to be in-depth, practical, and aligned with industry standards. Here’s a detailed overview of the courses we offer, tailored to help you advance your career and expertise.

Overview
  • To offer a Learning surroundings that fosters scientific excellence and offer lifelong getting to know with information the necessities of client and public.
  • Candidates themselves can formulate easy algorithms to resolve issues and might code them in excessive stage languages suitable for facts technology instance python SQL R Java This path exhibit information of statistical facts evaluation strategies utilized in commercial enterprise selection making Ability to apply SQL, R ,numpy , mat plot, pandas, scipy...
  • This path will create a capacity to expand software program answer for vital analysis and research.
  • The demand for data scientists is expected to grow significantly. The employment rate for data scientists is projected to grow by 36% from 2021 to 2031, which is much faster than the average for all occupations.
  • Python is one of the most in-demand skills for data scientists. It was mentioned in 78% of data scientist job offers in 2023 and continues to be a crucial skill in 20242. Other important skills include SQL, machine learning, and data analysis.
Certification

It is designed to validate the knowledge, skills, and competencies of individuals in a specific area of study or professional field. The certification program is meticulously designed to ensure that candidates have acquired a comprehensive understanding of the subject matter. It encompasses both theoretical knowledge and practical application, allowing candidates to demonstrate their expertise in real-world scenarios.

What You'll Master:

  • Introduction to Python:

    Understand the basics of Python programming.
    Learn about data types, variables, loops, and conditional statements.

  • Python Libraries for Data science:

    Explore powerful Python libraries such as NumPy and Pandas.
    Perform data manipulation and analysis efficiently.

  • Data Visualization with Matplotlib and Seaborn:

    Create captivating visualizations to represent data effectively.
    Gain insights from data patterns and trends.

  • Microsoft Power BI:

    Learn to visualize data with dynamic dashboards, creating compelling, data-driven narratives.

  • Tableau:

    Master the art of interactive data visualization, enhancing decision-making with clear, intuitive charts.

  • Advanced Excel:

    Elevate your data handling with powerful functions, pivot tables, and complex formulas.

  • Introduction to Data Science:

    Grasp the key concepts and principles of data science.
    Understand the data science lifecycle and its applications.

  • Data Cleaning and Preprocessing:

    Learn techniques to handle missing data and outliers.
    Prepare data for analysis by cleaning and preprocessing.

  • Statistical Analysis with Python:

    Apply statistical methods to interpret data.
    Make data-driven decisions based on statistical insights.

  • Machine Learning Fundamentals:

    Discover the foundations of machine learning.
    Build and evaluate predictive models with Python.

  • Supervised and Unsupervised Learning:

    Understand the difference between supervised and unsupervised learning algorithms.
    Implement regression, classification, and clustering techniques.

  • Introduction to Deep Learning:

    Explore the basics of neural networks and deep learning.
    Use popular Python libraries like TensorFlow and Keras.

  • Data Science Projects:

    Work on real-world data science projects to apply your skills.
    Showcase your expertise through hands-on experience.

  • Data analysis with R language

    Fundamentals: Basics of R programming, data structures, and syntax.

    Data Manipulation: Techniques for cleaning and transforming data.

    Visualization: Creating and customizing graphs and plots.

    Statistical Modelling: Implementing various statistical methods and tests.

    Machine Learning: Applying algorithms for predictive analytics.

    Real-World Applications: Hands-on projects to analyse and interpret data.


  • Comment Author

    Jayashree SG

    22 April, 2024

    Hi I am Jayashree studying mca in Sourashtra College.... The session was really nice and very helpful for us. I really very enjoy the session. I learned new thinks in this session so thank you so much for Tandem Informatics.

  • Avater

    Preetha Rajendran

    26 April, 202

    R.Preetha from Sourashtra college
    I had attended a session about animation in Tandem informatics.It was an informative and interactive session.I learned new tools to do animation.

  • Comment Author

    Jana SS

    15 may, 2023

    Amazing classes and wonderful lectures, all who are interested in learning python should have no confusion but just come "Tandem informatics". Lab and training environment is great.

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