Example Curriculum
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1. Arithmetic_Operators 2. Daily_Data_Consumption 3. Data_Types 4. Introduction_to_DataScience 5. Print 6. Python_Overview 7. Roles 8. Salary_Packages 9. Sectors 10. Tools 11. Variable
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Revision, Variable, Revision & Task Discussion, Integers
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Float, Comments, if, elif, else, input, for loop
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For Loop, Function
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Function, List, Dictionary
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Python - Tuple, Range, Lambda
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String Manipulation, Python Modules, File Handling
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Exception Handling, Introduction to Numpy
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Python - Map, Reduce, Filter, Pandas
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Doubt Session
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Matplotlib, Colors, Markers, Resume, Pie chart
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Data Analysis with Pandas
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Pandas Functions, Forms_in_Pandas, Introduction_to_Github
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Introduction_to_Github, EDA, info, int64, Object
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Seaborn, Donut Charts, HeatMap, Apply, Map, Filtering
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Aggregate Function, Correlation, Filtering, Sorting
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New section
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Google Sheet Overview, Row & Columns, Dragging, Arthimetic Operators, Sorting & Filtering
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Freezing Rows and Columns, Sum & SumIF, Average & Count, Vlookup, Hlookup
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Pie Charts, Line Charts, Corelation, Exporting, Regression, Transformations
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XLOOKUP, Named Ranges, Find and Replace , Using Checkboxes for Task Lists, Protecting Cells or Sheets , Data Validation
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Importing the data to collab, Formula, Google Sheet Shortcuts, Mini Project - 2
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Introduction to Databases, SQL Overview, Installing XAMPP, Creating a Database, Creating Tables, Inserting Data into Tables, SELECT
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Data Types, Updating & Deleting in SQL, MiniProject-1, Filtering Data, Comparison & Logical Operators,
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Betweeen, Like, Sorting Data
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LIMIT & DISTINCT, Alias, Aggregate Functions, Grouping Data, MiniProject-2
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HAVING Clause, NULL Values, Primary Keys & FOREIGN KEY, Joins, Subqueries
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EXISTS & IN, Normalization, Indexing, SQL Best Practice, MiniProject-3, Blinkit App Dashboard
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11th May
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Buttons, Colors, Read_CSV, Operations with CSV, FoodApp, ZomatoApp
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Linear Regression, House Price Prediction using LR, Salary Prediction Using LR, Logistic Regression, Decision Tree, Variables
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Random Forest Algorithm, SVM, KNN
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Accuracy Score, Precision Score, Recall Score, Discuss about SDLC, Machine Learning Role Overview
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Types of Machine learning, Algorithms, SDLC, Roles and Salary in SDLC, K-Mean, Train Test Split(TTS)
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Hosting Revision, Using Train-Test Split, DBSCAN, NLP Overview, Stopwords, Steaming
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Lemmatization - BOW - Jupyter Notebook - POS Tagging - POS Tags Meaning - NER - Sentiment Analysis
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Polarity - Subjectivity - TextBlob - Introduction to Deep learning - Data Mining - Doubt Session
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14th June
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15th June
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16th June
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17th June
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18th June
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Epoch, Epcoh Example, Activation Functions, Relu
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Optimizer, Loss fuction, Sigmoid, adam, Tensoflow, Keras, Dense, Sequential, Layers
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28th June
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29th June
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Career Building Session
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5th July
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6th July
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12th July
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13th July
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