Data Science Course in Pune

data science online training

Trained 15000+ Students | 40+ hrs course duration |
15+ hrs assignment duration | Exams conducted after topic completion

What is
data science?

The best technology, career for future

Data Science is a branch of science that uses advanced algorithms and scientific computations to extract meaningful information obtained from a structured and unstructured form of data. An example of structured data can be the data that is obtained from an Excel file or SQL database. Also, an example of unstructured data can be images, videos, and so on. 

Data Science Online Course

The source of this data can be any social media channel, surveys, or company data, and so on. A Data Scientist working on this data will analyze the given data from different perspectives and extract the information needed to improve any business’s profit. The data is interpreted in a visual format so that it can be understood by non-technical people like people from the Sales department, HR department, and so on.

Different ways that are used in this field of Data Science:

This methodology is used whenever the business needs to make predictions regarding any event that can occur in the future. 

Say, for example, banks give home loans to their customers. So before releasing the loan amount, the bank needs to predict the customer’s chances to pay regular EMI’s. This is done by studying its purchase and lending patterns. Also, a prediction is done with the help of its CIBIl score. This will prevent the bank from suffering any monetary loss that they may suffer because of non-payment of the loan amount.

This method is used when looking for the systems to make intelligent decisions and even modify it with changing parameters. It gives us a range of actions that we can take and results that we may get from those actions. 

Say, for example, the self-driven cars by Google learn from the continuous data we feed in their systems. This enhances their learning experience, and thus they can make intelligent decisions like taking a turn, stopping at a signal, and so on.

Machine Learning algorithms are used to predict the financial trends of the market or the company. This is a part of Supervised Learning. Here in this method, the machines learn from the past data feed in their systems.

For example, a Fraud detecting system can learn from the data from history regarding the fraud purchases made in the past. 

There are times when you don’t have past data that can be used to make predictions. In such situations, you need to understand the pattern in the random data collected and make predictions. This method is called Pattern Discovery with Unsupervised Machine Learning.

For example, if you are working for a Mobile company, you would need to make decisions regarding tower installation. This can be achieved by studying the volume of voice or digital data in a different region. You may use the clustering technique to determine where tower installation is needed as there is low data generation due to weak signal strength.

syllabus

1. Fundamentals of Data Science and Machine Learning

  • Introduction to Data Science
  • The need for Data Science
  • BigData and Data Science’
  • Data Science and machine learning 
  • Data Science Life Cycle
  • Data Science Platform
  • Data Science Use Cases 
  • Skill Required for Data Science

2. Mathematics For Data Science

  • Linear Algebra
    • Vectors
    • Matrices
  • Optimization
    • Theory Of optimization
    • Gradients Descent

3. Introduction to Statistics

  • Descriptive vs. Inferential Statistics
  • Types of data
  • Measures of central tendency and dispersion
  • Hypothesis & Inferences
  • Hypothesis Testing
  • Confidence Interval
  • Central Limit Theorem

4. Probability and Probability Distributions

  • Probability Theory
  • Conditional Probability
  • Data Distribution
  • Binomial Distribution
  • Normal Distribution

1. An Introduction to Python

  • Why Python, its Unique Feature and where to use it?
  • Python Environment Setup/shell
  • Installing Anaconda
  • Understanding the Jupyter notebook
  • Python Identifiers, Keywords
  • Discussion about installed modules and packages

2. Conditional Statement, Loops, and File Handling

  • Python Data Types and Variable
  • Condition and Loops in Python
  • Decorators
  • Python Modules & Packages
  • Python Files and Directories manipulations
  • Use various files and directory functions for OS operations

3. Python Core Objects and Functions

  • Built-in modules (Library Functions)
  • Numeric and Math’s Module 
  • String/List/Dictionaries/Tuple
  • Complex Data structures in Python
  • Python built-in function
  • Python user-defined functions

4. Introduction to NumPy

  • Array Operations
  • Arrays
  • Functions
  • Array Mathematics
  • Array Manipulation
  • Array I/O
  • Importing Files with Numpy

5. Data Manipulation with Pandas

  • Data Frames
  • I/O
  • Selection in DFs
  • Retrieving in DFs
  • Applying Functions
  • Reshaping the DFs – Pivot
  • Combining DFs
    • Merge
    • Join
  • Data Alignment

6. SciPy

  • Matrices Operations
  • Create matrices
    • Inverse, Transpose, Trace, Norms , Rank etc
  • Matrices Decomposition
    • Eigen Values & vectors
    • SVDs

7.  MatPlotLib

  • Basics of Plotting
  • Plots Generation
  • Customization
  • Store Plots

8. SciKit LearnBasics

  • Data Loading
  • Train/Test Data generation
  • Preprocessing
  • Generate Model
  • Evaluate Models

1. Exploratory Data Analysis

  • Data Exploration
  • Missing Value handling
  • Outliers Handling
  • Feature Engineering

2. Feature Selection

  • Importance of Feature Selection in Machine Learning
  • Filter Methods
  • Wrapper Methods
  • Embedded Methods

3. Machine Learning: Supervised Algorithms Classification

  • Introduction to Machine Learning
  • Logistic Regression
  • Naïve Bays Algorithm
  • K-Nearest Neighbor Algorithm
  • Decision Tress (SingleTree)
  • Support Vector Machines
  • Model Ensemble
    • Bagging
    • Random Forest
    • Boosting
    • Gradient Boosted Trees
  • Model Evaluation and performance
    • K-Fold Cross Validation
    • ROC, AUC etc…

4. Machine Learning: Regression

  • Simple Linear Regression
  • Multiple Linear Regression
  • Decision Tree and Random Forest Regression

5. Machine Learning: Unsupervised Learning Algorithms

  • Similarity Measures
  • Cluster Analysis and Similarity Measures
  • K-chical Clustering
  • Principal means Clustering
  • HierarComponents Analysis
  • Association Rules Mining & Market Basket Analysis

6. Text Mining

  • Basics
  • Term Document Matrix
  • TF-IDF
  • Twitter Sentiment Analysis

Grab an opportunity in Data Science and Machine Learning with our job-oriented curriculum.

Get guidance from IT Pundits and assured placement assistance.

Why choose us?

The demand for Data Science expert is high as compared to the actual Data Science expert availability. Being a Data Science professional, your prestige also increases, as you get an important position in the companies and for sure you will get jobs in big companies. With Data Science you can build unique products in various field like health care and also save many lives.
Data Science Online Training at datasciencecourseinpune is the best way to gain expertise in Data Science. We are the first-class institute to provide online training from Data Science. We are very well known and have many years of experience in delivering training. We provide 100% placement assistance, and that is a sure guarantee—the guidance for an interview with an interactive session, group discussion and mock interview. With the help of our training and guidance, many students are placed in very well known and reputed companies. Also, we provide training sessions with a job-oriented goal. Training is based on recent trends and industrially oriented teaching. We focus on a practical approach and also offer the right combination of theory and practice.

We have a complete setup which includes classroom sessions, test and also lab sessions. Students can select from multiple batch timings arranged according to the student’s schedule. Sessions you have missed you can recover quickly.

With right planned training designed with the help of professionals, flexible batches, and at a very reasonable price. 

If you want to enhance a firm foothold in the IT sector, join datasciencecourseinpune, and we guarantee you will become Data Science professional and will be in demand in the IT sector.

Key features

  • Job-oriented curriculum
  • Certified experienced Trainers
  • Lifetime access to study material
  • LIVE interactive online class
  • Flexible batch options
  • Reasonable fees
  • Software Installation Assistance
  • Hand-on training
  • Daily Assignments
  • Doubt Solving sessions
  • Industry-based projects
  • Missed class covered
  • Lifetime access to class recordings
  • Curriculum regularly updated
  • 100% placement assistance
  • Soft skill workshop
  • Career counseling
  • Resume and LinkedIn profile preparation
  • Mock Interviews
  • Constant motivation and Guidance from instructors

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frequently
asked questions

Yes, you will be awarded a Certificate of Completion after you finish the course along with all the assignments and projects.

This Data Science Online Learning institute will provide you with 100% placement assistance. We will also arrange a special session to improve your soft skills as fluent communication paves the way to success. We will also help you prepare a dynamic resume and LinkedIn profile that help you in the initial screening for job opportunities. We will also conduct a few rounds of Mock Interviews to help you face any job interview.

Data Science Training Online offers the best Data Science online course in India. Despite this fact, we arrange demo sessions regularly, usually on weekends. You can call us on 7410073340 to book a demo class today.

We will provide a LIVE interactive online class where the students can understand the concepts with the trainers. They can also solve their doubts during the session. Also, peer learning happens in every class. Also, the instructor ensures that all concepts are clear during the class. They don’t process ahead until then.

  • Prediction of fare in Uber App
  • Prediction of Product Rating for Amazon
  • Forecasting of demand for an e-commerce store

   Many more

The duration of the entire course is of 40-50 hours of an online class. You will additionally need 15-20 hours to complete your projects and assignments. The different batches happen on weekdays and weekends. You have the liberty to choose an appropriate batch that matches suits you.

The study material is designed by a team of experts having 5-10 years of professional experience as a Data Scientist or Data Engineers. The study material is in line with the demands in the market. It considers theoretical and practical implementations of every concept to give you a perfect blend of both. Also, we regularly update the curriculum to cover the latest technology updates.

If you miss any session, you need not have to worry. You can attend the same class along with the next upcoming batch. Also, you may watch the video recording of the LIVE class.

  • Job-oriented curriculum
  • Certified experienced Trainers
  • Lifetime access to study material
  • LIVE interactive online class
  • Flexible batch options
  • Reasonable fees
  • Software Installation Assistance
  • Hand-on training
  • Daily Assignments
  • Doubt Solving sessions
  • Industry-based projects
  • Missed class covered
  • Lifetime access to class recordings
  • Curriculum regularly updated
  • 100% placement assistance
  • Soft skill workshop
  • Career counseling
  • Resume and LinkedIn profile preparation
  • Mock Interviews
  • Constant motivation and Guidance from instructors
Data Science Course in Pune is the best online training institute for Data Science. Enrolling in Data Science online classes will pave your way towards a bright future. It will also open new career paths for you.
  1. Data Scientist
A Data Scientist’s responsibility is to find, clean, and organize the data collected from the different mediums of information. It needs immense technical knowledge. The average annual salary is $140K.
  1. Machine Learning Engineer
Their responsibility is to create funnels for data and delivering solutions accordingly. They are responsible for testing and monitoring the performance and functionality aspects of the systems. The average annual salary is $115K.
  1. Machine Learning Scientist/Research Scientist
Their responsibility is to find new approaches and algorithms that can be used for Supervised or Unsupervised learning. The average annual salary is $114K.
  1. Application Architect
Their responsibility is to study how different applications behave. They also understand how these systems interact with each other and with other users. The average annual salary is $114K.
  1. Enterprise Architect
Their responsibility is to select appropriate technology that will help in meeting the objectives of the company. For this role, it is necessary to have an understanding of companies’ goals and different technologies. The average annual salary is $110K.
  1. Data Architect
Their responsibility is to design data solutions that will meet the performance requirement of the company. The average annual salary is $108K.
  1. Infrastructure Architect
Their responsibility is to ensure that the systems give optimum performance. Also, they can easily support newer technologies. The average annual salary is $107K.
  1. Data Engineer
Their responsibility is to perform the processing of batches of real-time data. They also help in maintaining the data pipelines. The average annual salary is $104K.
  1. BI Developer
Their responsibility is to design solutions for businesses based on data collected so that businesses can make sound decisions to increase the business’s profit. The average annual salary is $82K.
  1. Statistician
Their responsibility is to collect and interpret this data to understand the trends followed in the market. The average annual salary is $77K.
  1. Data Analyst
Their responsibility is to manipulate and transform the more massive sets of data for company use. The average annual salary is $62K.

All the Data Science online classes are conducted LIVE, i.e., and the instructor directly addresses you like it would have been done in a regular classroom. The only difference is you are attending the same from the comfort of your home. You can always ask your doubts to the trainer during the class itself. This will help your peer also understand your doubts. Many times such doubts solving helps the other student to understand the different possible perspectives of a concept.

Testimonial

A career in Data Science is the most demanding today. So once I enrolled in the training program at 3RI Technologies, all my concepts were clear. Also through rigorous assignments and quizzes in each class, I can say I have mastered them. I want to especially thank my instructor to constantly encourage me through the program.

Anvay Patil