Data science Course in Pune

INTRODUCTION

TRAINING FOR A NEW AGE CAREERS & HELPING YOU CREATE A BETTER TOMORROW

What is Data Science?

Data is new oil for all industry. Data science is the study of data. It involves developing methods of acquiring and analyzing data to effectively, extract useful information and help business to solve their priority problems/take decisions.

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. Data mining is a subset of data science.

Data science is more closely related to the mathematics field of Statistics, technologies (Python, R, Machine learning, Deep Learning, AI, TableAu/PowerBI, Big data) , any domain expertise  which includes the collection, organization, analysis, get insights, build and deploy model and presentation of data.

Why Data Science?

Now a day’s everyone is discussing about data science. We are in the era of cutting edge information technology where computing power of computer has increased exponentially, storage capacity has increased tremendously and cost of both has come down significantly. So data and computing power have become weapons and with the help data science we can solve business problems at hand using already built in algorithms.  Be it, to predict sales in upcoming month or next 3 months, or predict if the person is having cancer or doing market basket analysis, data science can helps to solve all such problems. It helps business to increase profit, revenues, sales, increase productivity, alerts business on inventory, alerts if patient will have trouble in future and so on so forth. Across all domains, data science is being used. Currently, demand a supply of data scientist is inversely proportional.

All companies are seeking good data scientist, data analyst, data engineers, ML engineers, Data Vidualizer, to help them to find out insights from the data and solve their and clients business problems.

Anyone from any industry can transition into data science field including freshers without requiring much programming knowledge. You need to have passion, patience and perseverance to become a data scientist or one of the role – Data Analyst, Data Engineer, ML Engineer, Data Visualizer.

Hope this helps. Let me know if you need any more details from my end.

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  • To become a professional in different roles(Data Analyst, Data Engineer, Jr. ML Engineer, ML Engineer, Sr. ML Engineer, Data Scientist, Data Leader) in Data Science world
  • To provide insight into real world scenarios of life as a Data science professional in IT Industry
  • To provide students with indispensable knowledge and skills which will enable them to pursue career in the IT Industry as a data science professional in capacity of different roles
  • To provide skill based professional training for career advancement
  • To provide the entry/mid level professionals with concrete building blocks to create a path for full employment and successful career
  • To provide guidance/assistance for ‘How to crack interview’, Do’s and Don’ts of an Interview
  • And last but not least To find a Job in Data Science domain
  • The course specifically designed as per the requirement from various IT Clients
  • Certified Trainers from the IT industry with a rigorous understanding of the specialized domain
  • Lecture contents are prepared by Industry expert
  • Live Projects based training under the guidance of industry experts
  • Weekly workshop from industry experts
  • An innovative teaching methodology which delivers in-depth knowledge with quality tailored programs that maximize a return on your investment.
  • Strategic Association for global certification

The course will have regular classroom Lectures, Practical Sessions, Seminars, Tutorials, Case Studies, Assignments and Exams.

230 Hours –  4 Months (monday to friday) – (2 hours a day)
  • Undergraduates, Graduates and Post-Graduates
  • Need analytical and logical thinking
  • No Previous Programming Experience necessary
  • Job aspirants / fresher looking to commence career in Data Science domain
  • Passionate about Data Science or programming
  • Can assist Python developer
  • Data Analyst
  • Makes foundation for Data Engineer, ML Engineer
  • This course will make entry to data science domain/world
  • Sr. ML Engineer, Data Scientist
  • Tableau developer, Tableau Consultant
  • Data Engineer, Data Visualizer
  • Associate ML Engineer
Program Contents / Syllabus

Core Python

  • Python introduction
  • Difference between PHP, Python, Java, PERL, Ruby, JavaScripts
  • Anaconda Distribution installation
  • Writing first Python program
  • Jupyter notebook
  • Variables and Scope
  • Print and formats
  • Data types
  • Flow Control
  • Operators
  • Handling Date time
  • Advance Data Structures
  • Array 1,2,3..Nd array
  • Matrices
  • Mutable and Immutable Objects
  • Conversion of one data type to another data type
  • String and associated functions
  • Random variables
  • OOPS concepts
  • Error and Exception Handling
  • Regular Expression
  • Iterable and non iterable objects
  • Package Creation/Handling
  • Modules Creation/Handling
  • Python Built-in Functions
  • Overwriting built-in function
  • User defined Functions
  • Generators
  • Decorators
  • Different IDEs and working
  • List comprehension
  • Labmda functions – Anonymous function
  • File handling and functions
  • Introduction to Pytest and Unitest framework
  • Python Cheat sheet
  • Interview questions
  • Flashcards
  • Introduction to Machine learning
  • Mini Project

Statistics for Data Science

  • What is statistics?
  • What is linear Algebra?
  • How Statistics is used in Data Science?
  • Data Types
  • What are general Data issues?
  • What is Population & Sample?
  • Descriptive Statistics
  • Popular statistical Plots
  • Intro to Inferential statistics
  • Probability in statistics
  • Normal Distribution
  • Hypothesis testing
  • Random Variables
  • Central Limit Theorem
  • Statistics Cheat sheet
  • Flashcards
  • Interview questions

DATA ANALYSIS BASICS WITH PYTHON

  • Data Science Fundamentals
  • Statistical/Mathematical operations using Numpy
  • Data manipulation with Pandas
  • Data Visualization in Python
  • Data Visualization using Matplotlib
  • Introduction to Seaborn, Bokeh, Plotly
  • EDA on different data sets
  • Mini Project – Data manipulation Projects
  • Linear Regression Model Building
  • Data Analysis Cheat sheet
  • Flashcards
  • Interview questions

MACHINE LEARNING – Foundation 

  • Introduction to Machine Learning (ML)
  • Data Science Project life Cycle
  • Linear Regression (Regression)
  • Logistic Regression (Classification)
  • Decision trees & Random Forests (Regression/Classification)
  • Model evaluation techniques for Regression and Classification
  • Gradient Descent & Optimization
  • Miscellaneous (Bias, Variance, Overfit model, Underfit model, Noise,  Balance/Imbalance dataset, Scaling)
  • Machine Learning Cheat sheet
  • Interview questions
  • Flashcards
  • Capstone Project

MACHINE LEARNING – Intermidiate

  • Dimensionality Reduction using PCA
  • KNN (K- Nearest Neighbors)
  • Naïve Bayes classifier
  • K-means clustering technique
  • Support vector machines (SVM)
  • Time series forecasting
  • Machine Learning Cheat sheet
  • Interview questions
  • Flashcards
  • Capstone Project

MACHINE LEARNING – Advanced

  • Apriori Algorithm
  • Recommender System
  • LDA
  • Anomaly Detection
  • Ensemble Learning
  • Stacking
  • Optimization
  • Introduction to Neural Network
  • How to deploy model
  • Interview Questions
  • Flashcards
  • Capstone Project

Tableau – Data Visualization Tool

  • Tableau Introduction
  • Field Types and Visual Cues
  • Data Connection in Tableau Interface
  • Organizing and Simplifying Data
  • Formatting and Annotations
  • Special Field Types
  • Tableau Generated Fields

 

  • Chart Types
  • Calculations
  • Creating and using Parameters
  • Mapping
  • Statistics
  • Dashboards
  • Tableau Cheat sheet
  • Interview questions
  • Flashcards
  • Capstone Project

iTpreneur Data System Pvt. Ltd. is a leading provider
of IT Training & Placement services dedicated to introducing

new skills and talent into the Pune’s IT sector. We are a
proudly unique company with services covering all
levels of IT recruitment and skill development.

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Email: info@itpreneurpune.com
Website: www.itpreneurpune.com

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