data science in kannada introduction |
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Introduction to Data Science – I |
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Introduction to Data Science – II |
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Data Science @Netflix |
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Data Science Engineer Skillset |
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Job Roles in Data Science |
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Environment and IDE's setup |
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Google Collab |
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00:00:00 |
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IDE’s setup -Anaconda Tools |
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00:00:00 |
Statistics For Data science |
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Introduction of Statistics |
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00:00:00 |
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Measure of Central Tendency |
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00:00:00 |
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Skewness and Kurtosis |
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00:00:00 |
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Measure of Variability |
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Quartile,Percentile, Histogram,Frequency table |
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Sampling ,Inferential Statistics |
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00:00:00 |
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Normal Distribution ,Z-Score ,P-Value |
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00:00:00 |
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Z-Score,P-Value, Probability Distribution |
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00:00:00 |
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Student’s T Distribution |
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00:00:00 |
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Estimating Population Proportions |
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00:00:00 |
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Python Of Data Science |
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Knowing JAP |
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Elaborating JAP |
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Background and Guiding Principle of Data science |
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Python For Data Science |
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00:00:00 |
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BACKGROUND AND GUIDING PRINCIPLES |
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00:00:00 |
Chalo INDIA Startup Drive |
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All about Chalo India Startup drive |
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00:00:00 |
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PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) |
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00:00:00 |
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PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE(PART-2) |
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00:00:00 |
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STEP BY STEP PROCEDURE FOR LIFE CYCLE OF A DATA SCIENCE PROJECT |
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00:00:00 |
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STEP BY STEP IMPLEMENTATION OF DATA SCIENCE |
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PYTHON ANALYTICS FOR DATA SCIENCE(PART-1) |
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00:00:00 |
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PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) |
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00:00:00 |
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PYTHON FOR DATA SCIENCE |
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00:00:00 |
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PYTHON FUNDAMENTALS FOR BEGINNERS IN DATA SCIENCE (PART-1) |
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00:00:00 |
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Python Fundamentals For Beginners In Data Science (Part-2) |
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00:00:00 |
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BACKGROUND AND GUIDING PRINCIPLES OF DATA SCIENCE |
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DATA SCIENCE AS SCIENCE |
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STEP BY STEP IMPLEMENTATION ON DATA SCIENCE PROJECT |
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PYTHON ANALYTICS FOR DATA SCIENCE (PART-1) |
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00:00:00 |
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PYTHON ANALYTICS FOR DATA SCIENCE(PART-2) |
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00:00:00 |
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R PROGRAMMING IN DATA SCIENCE |
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00:00:00 |
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R PROGRAMMING IN DATA SCIENCE |
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00:00:00 |
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PYTHON ANALYTICS FOR DATA SCIENCE (PART-3) |
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00:00:00 |
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DATA STRUCTURES IN R(PART-1) |
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00:00:00 |
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WHY STATISTICS NEEDED FOR DATA SCIENCE(PART-1) |
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00:00:00 |
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Why Statistics Needed For Data Science(Part-2) |
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00:00:00 |
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OOPS IN PYTHON (PART-1) |
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00:00:00 |
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R BASICS |
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00:00:00 |
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OOPS IN PYTHON(PART-2) |
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00:00:00 |
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PYTHON ANALYTICS FOR DATA SCIENCE(PART-4) |
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00:00:00 |
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USING IPL SAMPLE DATA IN DATA SCIENCE PROJECT |
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00:00:00 |
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DATA STRUCTURES IN R (PART-2) |
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00:00:00 |
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Introduction and Installation |
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00:00:00 |
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Basic data structures(lists, tuples, sets, dict) |
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00:00:00 |
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Basic data structures(lists, tuples, sets, dict) part 2 |
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00:00:00 |
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Basic data structures(lists, tuples, sets, dict) part 3 |
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00:00:00 |
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What is space, Scalars, Vectors and vector algebra |
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Equation of line, planes |
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00:00:00 |
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Equation of circle, Distance measures |
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00:00:00 |
Statistics for Data Science |
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Central tendency, Measure of spread |
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00:00:00 |
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Measure of spread part 2 |
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00:00:00 |
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Correlation. Co-variance |
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00:00:00 |
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Correlation. Co-variance part 2 |
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00:00:00 |
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Probability Distribution part 2 |
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00:00:00 |
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Probability distribution part 3 |
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00:00:00 |
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What is Hypothesis testing |
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Different common statistical tests |
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Different common statistical tests part 2 |
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Different common statistical tests part 3 |
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00:00:00 |
Data science part 1 |
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Processing numerical data |
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00:00:00 |
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Processing numerical data (Python) |
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00:00:00 |
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Processing text data part-1 |
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00:00:00 |
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Processing text data part-2 |
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00:00:00 |
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TF-IDF |
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00:00:00 |
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BoW, TFIDF python code |
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00:00:00 |
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PCA part 2 |
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00:00:00 |
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PCA part 3 |
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00:00:00 |
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EDA (Student performance) part 1 |
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00:00:00 |
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K-Nearest Neighbour |
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EDA (Student performance) part 2 |
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Exploratory data analysis (continues case study ) part 1 |
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Exploratory Data Analysis (Continues case study) part 2 |
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Exploratory Data Analysis (continuous case study) part 3 |
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Exploratory Data Analysis (continuous case study) part 4 |
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Data science part 2 |
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Logistic Regression part 2 |
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00:00:00 |
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What is modelling?, Why is modelling? |
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KNN part 2 |
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KNN part 3 |
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Implement K-fold cross validation for KNN
5 days
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Logistic Regression part 1 |
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00:00:00 |
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Logistic Regression part 3 |
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00:00:00 |
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Quiz – 11 |
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00:08:00 |
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Support Vector Machines part 1 |
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00:00:00 |
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Support Vector Machines part 2 |
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00:00:00 |
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Naive Bayes |
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00:00:00 |
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Decision Trees |
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00:00:00 |
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Decision Tree part 2 |
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00:00:00 |
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Types of ensembles |
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Random Forest |
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Quiz on KNN in kannada
5 days
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GBDT |
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XGBoost, AdaBoost, LightGBM |
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Stacking models |
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Basic feature engineering (Continuous case study) part 1 |
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00:00:00 |
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Basic feature engineering (Continuous case study) part 2 |
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00:00:00 |
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Basic Regression Quiz |
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00:05:00 |
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Sample Project -Hello World |
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00:00:00 |
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Sample Project -Hello World |
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00:00:00 |
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How to make use of online resources |
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Introduction |
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Knowing Big Data |
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00:00:00 |
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Outcomes of Big Data |
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00:00:00 |
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Data Science Basics |
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00:00:00 |
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Scraping Quiz |
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00:03:00 |
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Regression |
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00:00:00 |
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Structured & Unstructured Basics |
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00:00:00 |
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Advanced Regression Quiz |
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00:05:00 |
Data Mining |
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Hadoop made simple |
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00:00:00 |
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Introduction to Mining |
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00:00:00 |
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Setting up Data Mining |
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00:00:00 |
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Getting into Data Mining |
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00:00:00 |
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Quiz – 12 |
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00:10:00 |
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Octaparsing Live |
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00:00:00 |
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Data Mining Quiz -1 In Kannada |
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00:03:00 |
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AVODHA Official Kannada YouTube Channel |
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00:00:00 |
HADOOP |
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Introduction to HADOOP |
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00:00:00 |
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What is the difference between a Local file system (LFS) and HDFS? |
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HADOOP Distributed File System |
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00:00:00 |
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HADOOP Yarn |
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00:00:00 |
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Hadoop MapReduce |
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00:00:00 |
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Hadoop Installation and Map Reduce Job Execution DEMO |
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00:00:00 |
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Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop |
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00:00:00 |
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Hadoop- MapReduce Practical Assignments |
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00:00:00 |
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SQL-Structured Query Language |
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00:00:00 |
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Map Reduce ā Test your Knowledge |
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00:03:00 |
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Apache HIVE ļæ½ļæ½ļæ½ Hadoop Ecosystem Tool |
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00:00:00 |
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Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation |
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00:00:00 |
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Hadoop ā Test your knowledge |
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00:04:00 |
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Apache HIVE-Practical Assignment -Part 1 |
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00:00:00 |
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Apache HIVE-Practical Assignment -Part 1-Continued |
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00:00:00 |
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HIVE Quiz ā Test your Knowledge |
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00:03:00 |
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Apache Spark -Session 2 |
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00:00:00 |
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Step by Step Guide : Apache Hbase installation on Windows & Table Creation |
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00:00:00 |
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Apache HBase Practical Assignment |
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00:00:00 |
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Hadoop Eco System- Other Tools |
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00:00:00 |
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Hadoop Introduction Quiz |
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00:01:00 |
Spark |
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Apache Spark ļæ½ļæ½ļæ½ Session 1 |
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00:00:00 |
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Apache Spark Programming Guide |
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00:00:00 |
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Apache Kafka Stream processing and DEMO |
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00:00:00 |
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Apache Spark Streaming |
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00:00:00 |
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Python for Apache Spark ļæ½ļæ½ļæ½ pySpark |
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00:00:00 |
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Hadoop Ecosystem Final Exit Mid Term Quiz |
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00:03:00 |
Starting with Azure |
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Microsoft Azure- Working with Data Storage |
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Microsoft Azure ļæ½ļæ½ļæ½ DataBricks |
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Microsoft Azure- Working with Databricks |
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00:00:00 |
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Microsoft Azure- Cosmos DB |
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00:00:00 |
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Microsoft Azure SQL |
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00:00:00 |
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Microsoft Azure Synapse Analytics and PolyBase |
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00:00:00 |
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Microsoft Azure Stream Analytics and event hubs |
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00:00:00 |
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SQL Quiz ā Test your Knowledge |
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00:03:00 |
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Microsoft Azure Data Factory Service ļæ½ļæ½ļæ½ ADF |
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00:00:00 |
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Microsoft Azure Creating a Virtual Machine |
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00:00:00 |
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Microsoft Azure : Securing Data Platforms |
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00:00:00 |
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Microsoft Azure Creating a Virtual Machine |
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00:00:00 |
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Microsoft Azure : Securing Data Platforms |
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00:00:00 |
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Microsoft Azure ļæ½ļæ½ļæ½ Monitoring and Troubleshooting Data Storage and Processing |
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00:00:00 |
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Microsoft Azure : Data Engineer Associate Certification Path- Part 1 |
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00:00:00 |
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How to Prepare for a Job Interview |
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00:00:00 |
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Microsoft Azure : Data Engineer Associate Certification Path- Part 2 |
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00:00:00 |
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Microsoft Azure Data Engineer Mock Test |
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00:30:00 |
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Azure Data Engineer Quiz ā Test your Knowledge In Kannada |
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00:10:00 |
More Resources for you |
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How To Be A Big Data Engineer |
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00:00:00 |
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What are the job opportunities in BigData? |
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00:00:00 |
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What is the attitude to work in the Industry |
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How to Manage Life and Work |
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How to excel in the field |
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00:00:00 |
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Finishing HADOOP |
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00:00:00 |
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Big Data Basic Quiz In Kannada |
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00:05:00 |
Python Fundamentals |
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PEDMAS Rule, Variables, Expression |
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00:00:00 |
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Reserved Words, Data Types, Basic in-built Functions |
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00:00:00 |
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Flow Control ,Booleans values,Comparison & Assignment Operators |
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00:00:00 |
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Boolean Operators, Mixing Boolean and Comparison Operators |
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00:00:00 |
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Flow Control Statements ļæ½ļæ½ļæ½If ,else if |
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00:00:00 |
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While Loop Statement |
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00:00:00 |
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Break and Continue Statement |
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00:00:00 |
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QUIZ – 13 |
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00:10:00 |
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Range function using for loop |
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00:00:00 |
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How to import Modulus |
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00:00:00 |
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Defining Function calls |
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00:00:00 |
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Function with return Statement |
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00:00:00 |
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Print Statement with Arguments and None Value |
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00:00:00 |
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Variable – Local and Global Scope |
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00:00:00 |
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Handling Exceptions |
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00:00:00 |
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List Data Type -Part A |
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00:00:00 |
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List Data Type -Part B |
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00:00:00 |
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List Data Type -Part C |
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00:00:00 |
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List Data Type -Part D |
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00:00:00 |
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List Traversal |
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00:00:00 |
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Methods of List Data Type-A |
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00:00:00 |
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Methods of List Data Type-B |
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00:00:00 |
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Methods of List Data Type-C |
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00:00:00 |
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Copying and Comprehension in List |
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00:00:00 |
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Data Type and Operations in Tuple |
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00:00:00 |
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Methods and Functions in Tuple |
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00:00:00 |
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Data Type and Operations in String |
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00:00:00 |
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Methods in String -Part A |
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00:00:00 |
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Methods in String -Part B |
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00:00:00 |
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Methods in String -Part C |
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Data Type -Dictionary |
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00:00:00 |
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Methods Part A -Dictionary |
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00:00:00 |
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Methods Part B -Dictionary |
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00:00:00 |
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Counters and Looping -Dictionary |
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00:00:00 |
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Apache HBase – Hadoop ecosystem tool |
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00:00:00 |
QUIZ SECTION |
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QUIZ – 14 |
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00:10:00 |
BONUS LECTURE |
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Data Type -Array |
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00:00:00 |
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Numpy Array -Part A |
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00:00:00 |
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File – Open and Read Functions |
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00:00:00 |
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Numpy Array -Part B |
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00:00:00 |
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File – Write Functions |
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00:00:00 |
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Programs on File Operations |
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00:00:00 |
Final Test Data Science and Artificial Intelligence in Kannada
5 days
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Congrats ! Submit the course completion form. |
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