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
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
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
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
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
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
