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    Data Science with Python

    Certificate Program in Data Science with Python

    The Certificate Program in Data Science with Python at Veda IT is a comprehensive course designed to provide students with a strong foundation in data science principles and practices, using Python as the primary programming language. This program is ideal for data enthusiasts, IT professionals, and students who want to gain expertise in data analysis, machine learning, statistical modeling, and data visualization.

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    Who Should Join Data Science with Python Course?

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      Entry-Level Candidates

    Keyskills of Data Science with Python Developer

    A Data Science with Python program equips learners with skills like Python programming, data manipulation using Pandas, and data analysis with NumPy and Matplotlib. Key skills include proficiency in data visualization using libraries like Seaborn and Plotly, statistical analysis, and working with machine learning models using Scikit-learn. Familiarity with data cleaning, feature engineering, and exploratory data analysis (EDA) is essential. Knowledge of natural language processing (NLP), time series analysis, and big data handling with PySpark or Dask adds value.

    Key Features
    • Covers data wrangling, visualization, machine learning, and predictive modeling.
    • Real-world projects and coding exercises for practical skills in data science.
    • Learn from experienced data scientists and Python professionals.
    • Offline classes with optional online support.
    • Recognized certificate from Veda IT upon successful course completion.

    What you'll learn

    The Certificate Program in Data Science with Python at Veda IT is a comprehensive course designed to provide students with a strong foundation in data science principles and practices, using Python as the primary programming language. This program is ideal for data enthusiasts, IT professionals, and students who want to gain expertise in data analysis, machine learning, statistical modeling, and data visualization. Covering essential topics such as data wrangling, data visualization, machine learning, and predictive modeling, the curriculum emphasizes hands-on learning through real-world projects and labs with popular Python libraries like Pandas, NumPy, Scikit-Learn, and Matplotlib.

    Through project-based learning, students will gain practical experience in analyzing and modeling data to solve real-world business problems. By the end of the program, graduates will be prepared for roles in data science, machine learning, data analysis, or further studies in advanced data science techniques.

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    Modules Covered

    • Overview of Python and Its Role in Data Science
    • Setting Up Python and Jupyter Notebook
    • Basic Python Syntax, Data Types, and Structures
    • Working with Libraries: Pandas and NumPy
    • Data Cleaning and Preprocessing Techniques
    • Handling Missing Data and Outliers
    • Mini Project: Data Cleaning and Preprocessing

    • Introduction to Data Visualization with Matplotlib and Seaborn
    • Creating Visualizations: Histograms, Box Plots, Scatter Plots
    • Customizing Plots and Visual Storytelling
    • Performing Exploratory Data Analysis (EDA)
    • Identifying Patterns and Insights in Data
    • Mini Project: Visualizing and Analyzing a Business Dataset

    • Introduction to Machine Learning and Model Types
    • Supervised Learning: Regression and Classification
    • Unsupervised Learning: Clustering and Dimensionality Reduction
    • Building and Evaluating Models with Scikit-Learn
    • Cross-Validation and Hyperparameter Tuning
    • Model Evaluation Metrics (Accuracy, Precision, Recall)
    • Mini Project: Predictive Model for Classification or Regression

    • Feature Engineering and Selection Techniques
    • Introduction to Natural Language Processing (NLP) Basics
    • Building Pipelines for Data Science Workflows
    • Model Deployment with Flask and Docker
    • Best Practices for Model Validation and Documentation
    • Final Capstone Project: End-to-End Data Science Application

    Learning Path

    Potential Roles

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Business Analyst (Data-Focused)
    • Data Science Consultant
    • Predictive Modeler
    • Research Analyst (Data Science)
    • Start Date20/05/2025
    • Enrolled100
    • Lectures50
    • Skill LevelBasic
    • LanguageEnglish,Telugu
    • Quizzes10
    • CertificateYes
    • Pass Percentage100%
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    Certificate Program in Data Science with Python

    Upon successful completion of the Certificate Program in Data Science with Python, you will receive a certificate from Veda IT, validating your skills in data analysis, machine learning, and model deployment using Python.

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