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Data Science Training with certification

  • Course Covers Python, Statistics, Data Bases, Machine Learning Algorithms, Business Aspects
  • 3 Months Live or Classroom Data Science Training
  • Placement Oriented Training
  • 3 Months Internship with Certification

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Learn Data Science | Become Certified Data Scientist

Learn Python, Data Science concepts, Mathematics, Statistics and most important Machine Learning algorithms. In this training, build more than 10 Data Science Course Projects in this training.  Explore the concepts of Data Science and  understand how it’s transforming the digital world.

Choose Your Plan

Certified Data Scientist (CDS): RS 35000/-

Certified Data Scientist (CDS) Classroom Training: RS 55000/-

Certified Data Scientist (CDS) Classroom Training: RS 55000/-

  • Get Trained by Trainers from IIT Alumni
  • Certified Data Scientist Program
  • 200 + hours of Live Data Science training Sessions
  • Recorded Videos
  • 10 + case studies
  • 60+ Hours of practical Assignments
  • Placement Support
  • Dedicated mentoring sessions from industry experts
  • 3 Months Training + 3 Months Internship
  • Certification: Certifed Data Scientist

Proceed

Certified Data Scientist (CDS) Classroom Training: RS 55000/-

Certified Data Scientist (CDS) Classroom Training: RS 55000/-

Certified Data Scientist (CDS) Classroom Training: RS 55000/-

  • Get Trained by Trainers from IIT Alumni
  • Certified Data Scientist Program
  • 200 + hours of Live Data Science training Sessions
  • Recorded Videos
  • 10 + case studies
  • 60+ Hours of practical Assignments
  • Placement Support
  • Dedicated mentoring sessions from industry experts
  • 3 Months Training + 3 Months Internship
  • Certification: Certifed Data Scientist

Proceed

Explore our Data Science Projects (Case Studies)

Predicting the product ratings

Forecasting the Demand

Predicting the Fare to be charged for a passenger


Identify the level of income qualification needed for the families in Latin

Predicting the demand for shared bikes

Reduce the Time a Mercedes-Benz spends on the Test Bench


Analyze RSVP Movies data set and draw meaningful insights

Analyze Data to find countries list that are in the direst need of aid

Classification of images animals

Appleton Innovations ( IABAC™ Training Partner)

Appleton Innovations is licensed and certified to teach IABAC™ certification courses.

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Sample Certificate

Certified Data Scientist (CDS)

Complete all the course content and industry projects successfully to obtain this prestigious certification Certified Data Scientist from IABAC International. The Certified Data Science developer certification provided by IABAC, has recognition on a global platform

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Data Science Training Syllabus

COURSE 1: DATA SCIENCE FOUNDATION

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

  • Introduction to Data Science
  • Data Science vs Business Analytics vs Big Data
  • Classification of Business Analytics
  • Data Science Project Workflow
  • Various Roles in Data Science
  • Application of Data Science in various industries 

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

  • Introduction to Data Science with Python
  • Python Installation and setup
  • Jupyter Notebook, Google colab
  • Python Basics: Basic Syntax, Data Structures
  • Data objects, Math, Comparison Operators, Condition Statements, loops, lists, tuples, dicts, functions

COURSE 3: MATHS FOR DATA SCIENCE

COURSE 2: PYTHON ESSENTIALS FOR DATA SCIENCE

COURSE 4: STATISTICS FOR DATA SCIENCE

  • Eigenvalues and eigenvectors
  • Linear transformations and matrices
  • Multivariable calculus
  • Vectors and vector spaces vector-valued functions

COURSE 4: STATISTICS FOR DATA SCIENCE

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

COURSE 4: STATISTICS FOR DATA SCIENCE

  •  Introduction to statistics
  • Harnessing data
  • Exploratory analysis
  • Distributions
  • Hypothesis testing
  • Hypothesis testing - critical value method
  • Hypothesis testing – pvalue method
  • T-tests, One way anova test / ftest
  • Non-parametric hypothesis testing
  • Correlation & regression

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

  • Numpy numerical python package 
  • Operations on Numpy arrays
  • Pandas panel data package
  • Data cleaning data munging with pandas

COURSE 6: VISUALIZATION WITH PYTHON

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

COURSE 5: DATA PREPARATION WITH NUMPY & PANDAS

  • Matplotlib package
  • Seaborn package
  • Basics of visualization 
  • Plotting categorical and time series data 
  • Plotting data distributions 

COURSE 7: MACHINE LEARNING ASSOCIATE

COURSE 7: MACHINE LEARNING ASSOCIATE

COURSE 7: MACHINE LEARNING ASSOCIATE

  • Machine learning introduction
  • Machine learning algorithms
  • Simple linear regression
  • Linear regression in python
  • Multiple linear regression
  • Logistic regression binary classifier
  • Logistic regression model
  • Supervised learning: k nearest neighbor knn classifier 
  • Clustering
  • K means clustering
  • Hierarchical clustering
  • Unsupervised learning: Principle Component Analysis (PCA)

 

COURSE 8: MACHINE LEARNING ADVANCED

COURSE 7: MACHINE LEARNING ASSOCIATE

COURSE 7: MACHINE LEARNING ASSOCIATE

  • Classification and regression tree (cart): Decision Tree
  • Decision tree Hyperparameter tuning
  • Random forest ensemble bagging technique
  • Naïve bayes: bayes theorem and algorithm building blocks
  • Boosting: introduction, adaboost, gradient boosting, xgboost
  • SVM
  • Artificial neural network
  • Advanced ML concepts

COURSE 9: SQL FOR DATA SCIENCE

COURSE 7: MACHINE LEARNING ASSOCIATE

COURSE 10: DEEP LEARNING – CNN BASICS

  • Install SQL packages and connecting to DB
  • RDBMS (Relational Database Management) basics
  • Select SQL command, where condition
  • Advanced SQL

COURSE 10: DEEP LEARNING – CNN BASICS

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

COURSE 10: DEEP LEARNING – CNN BASICS

  • Introduction to Deep Learning
  • Introduction to Image Basics
  • Convolutional Neural Network CNN intro
  • Case study: Keras– Tensorflow Image Classification  

 

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

  • Web Development 
  • Flask API Basics of Application Program Interface (API) 
  • Installing Flask and Flask CORS 
  • End of end ML project with API deployment

COURSE 12: TIME SERIES FOUNDATION

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

COURSE 11: ML MODEL DEPLOYMENT- FLASK API

  • What is a Time-Series? 
  • Trend, Seasonality, Cyclical and Random, White Noise 
  • Auto Regressive Model (AR)
  • Moving Average Model (MA), ARMA Model 
  • Stationarity of Time Series 
  • ARIMA Model – Prediction Concepts
  • ARIMA Model Hands on with Python
  • Case Study Assignment on ARIMA

Data Science Tools

Downloads

Certified Data Scientist (pdf)

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