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    • Internship Oriented Trainings
      • Data Science
      • Machine Learning
      • Python
      • Full-Stack Development
      • Web Development
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    • Login/Register
  • info@learntricksedutech.com
  • 10:00 AM - 06:00 PM (Mon-Fri)
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Job Oriented Training on Data Science

Training Courses You will Learn:

GIT / GitHub

Get access of 12 lessons training on GIT

Python

Get access of 25 lessons training on Python

Data Science

Get access of 50 lessons training on Data Science

Flask

Get access of 4 lessons training on Flask

Tableau

Get access of 13 lessons training on Tableau
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Internship

Get Internship After completion of all Trainings

Fees Structure :

Program NameRegistration FeesPay After PlacementTotal Fees
Job Oriented Training₹ 14999 ₹ 9999₹ 25000 ₹ 20000₹ 39999 ₹ 29999

EMI option is available for Registration fees (1st Installment: ₹ 7499, 2nd Installment: ₹ 2500 before internship or within one month whichever is earlier)

Register Now

For any queries contact us on +91 7083 975 973 or info@learntricksedutech.com

Training Syllabus:
GIT/GITHub
GIT / GITHub
  • Introductions
  • How to create user in Git
  • Git Workflow
  • How to use git stage and commit commands
  • How to use and Manage Git ignore command
  • How To Use Rename and Remove Commands in Git
  • How To Skip staging in GIT
  • How To Unmodifying and Unstaging In GIT
  • Creating Account on GitHub | How to Singup on GitHub
  • How To Cloning Remote Repository in Github
  • How To Create Branch In Git | Git Branching
  • How To Merge Branches In GIT
 
Python
Installation
  • How to install python on windows 7/8.1/10
  • How to Install PyCharm IDE on Windows Machine
  • How to install Anaconda in windows 7/8.1/10
  • How to Launch Jupyter Notebook Using Anaconda
Python
  • Introduction of python
  • Python Basic Concepts
  • Variables in Python
  • Python Strings
  • List in Python
  • Python Dictionary Methods
  • Tuple In Python
  • How To Use Set In Python
  • How To Use Conditional Expressions in Python
  • How To Use While Loop in Python
  • How To Use For Loop In Python
  • Try And Except In Python Function
  • Read, Readline and Readlines In Python
  • Python Functions
  • Lambda Functions
  • Join(), Map(), Filter() in Python
  • Python Decorators
  • Enumerate In Python
  • Fstring In Python
  • OOPS Concepts in python
Mini Project

Python Usecases- Creating Python Mini Project

Flask
Flask
  • Introduction of Flask
  • How to deploy the Machine Learning Algorithm using Flask
  • How To Create Python Model Using A Flask
  • Flask using HTML code in Python
Tableau
Tableau
  • Tableau Introductions
  • Tableau Installation on Windows
  • How to connect different Database in the Tableau
  • Formatting The Column Data In Tableau Part 1
  • Formatting The Column Data In Tableau Part 2
  • What Is Mean By Measure Name And Measure Value In Tableau
  • What Are The Cards In Tableau
  • Different Types Of Charts In Tableau
  • How To Plot Multiple Line Chart In Tableau
  • What Is Scatter Chart And Plotting A Scatter Charts
  • What Is Bar Chart And How To Plot Bar Chats In Tableau
  • What Is Pie Chart And How To Plot Pie Chart In Tableau
  • What Is Bubble Chart And How To Plot Bubble Chart In Tableau
Data Science
Installation
  • How to install python on windows 7/8.1/10
  • How to install Anaconda in windows 7/8.1/10
  • How to Launch Jupyter Notebook Using Anaconda
Linear Regression
  • How To Import Libraries and Dataset for Linear Regression
  • Distribution Plot For Linear Regression
  • How To Find Outlier in Linear Regression
  • Linear Regression Pairplot
  • How To Use Label Encoder and Heatmap
  • How To Use Train Test and Split For Linear Regression
  • Linear Regression Model Creation and Model Training
  • Linear Regression Model Evaluation
Logistic Regression
  • How To Import libraries and dataset for Logistic Regression
  • Imputing Null Values
  • Plotting For Logistic Regression
  • How To Do The Pre-Processing For Logistic Regression
  • How To Use Train, Test and Split For Logistic Regression
  • How To Create Logistic Model and Model Evaluation
Decision Tree and Random Forest
  • How To Import Libraries and Dataset
  • EDA (Exploratory Data Analysis) and Count Plot
  • How To Do The Pre-Processing
  • How To Use Train, Test and Split
  • How to Create Logistic Model and Logistic Model Evaluation
  • Decision Tree Entropy Model
  • Decision Tree Gini Model
  • Random Forest Model

 

Naive Bayes
  • How To Import Libraries and Dataset
  • Distribution Plot and EDA for Naive Bayes
  • How To Use Train, Test, Split and Logistic Model
  • Naive Bayes Model
K - Means Cluster
  • How To Import Libraries and Dataset
  • Plotting and EDA For K-Means Cluster
  • Finding K and Elbow method for K-means Cluster
  • How Get Cluster Centers and Plotting
K - Nearest Neighbour (KNN)
  • How To Import Libraries and Dataset
  • Distribution Plot and EDA For KNN
  • How To Use Train, Test and Split
  • How To Create KNN Model and Model Evaluation
  • How To Find K Optimum for KNN
Support Vector Machine (SVM)
  • How To Import Libraries, Dataset and Pre-Processing
  • Distribution Plot and EDA For SVM
  • How To Use Train, Test and Split the dataset
  • How to Create Logistic Model and Logistic Model Evaluation
  • Creating a Support Vector Machine and Model Evaluation
Register Now
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