Transform Your Career with Professional Tech Courses

From web development to data science, master the skills that drive the digital world with our comprehensive courses.

Data Science Course Structure

  1. Learn PythonFoundation

    Learn Variables, Operators, Conditions, Loops, Functions, List, Tuple, Dictionary, Set, List Comprehension. Introduction to important libraries – Numpy and Pandas.

    Python BasicsNumpyPandas

  1. Statistics, Probability and SQL

    Master Mean, Median, Mode, Variance, Standard Deviation, Probability basics, Hypothesis testing, and SQL for data handling.

    StatisticsProbabilitySQL

  1. Machine Learning

    Understand supervised and unsupervised learning algorithms: Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, DBSCAN, Support Vector Machine, and K-means clustering.

    Supervised LearningUnsupervised LearningLinear RegressionLogistic RegressionDecision TreeRandom ForestKNNDBSCANSVMK-means

  1. Data Visualization

    Visualize data using Matplotlib and Seaborn, and work with Power BI / Tableau and Advanced Excel.

    MatplotlibSeabornPower BITableauAdvanced Excel

  1. Advanced Machine Learning and AI

    Learn deep learning with TensorFlow and PyTorch, and understand neural networks.

    Deep LearningTensorFlowPyTorchNeural Networks

  1. ProjectFinal Project

    Apply your skills in a comprehensive data science project.