Example Curriculum

  Batch link, passcode and updates section
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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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  Resumes building and Sample Interview Questions
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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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  19th July
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  20th July
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  26th July
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  27th July
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  2nd August
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  3rd August
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  All Files till now
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  9th August
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  10th August
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  Further Placement Assistance Process
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  6th September
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