Data Science Training in Mumbai

Data Science is a highly in demand but there is currently a shortage of trained, professional data scientists. Research estimates there will be more than 2.7 million new jobs in data science in the next few years and the need for data education is becoming increasingly apparent.

If you already have skills and expertise in programming, databases or mathematics, you can step into this exciting area with highly transferable abilities. Even if you already use data on - the-job, you'll benefit from a formal certification in data science and the rigorous quality of our Data Science Graduate Program will ensure you gain the skills you need to differentiate yourself from your peer.

This course includes
180 hours

Duration
training type

Classroom Training
Weekends

Saturday
Sunday
Weekdays

Monday
Tuesday
Wednesday
Thursday
Friday

During the course you will learn
Data acquisition, cleaning and aggregation
Exploratory data analysis and visualisation
Feature engineering
Model creation and validation
Basic statistical and mathematical foundations for data science

The Outcome of the Course
A understanding of data science solvable problems, and the capacity to approach them from a mathematical perspective.
An understanding of when to use supervised and unattended
methods of statistical learning on labeled and unlabeled data-rich problems
The ability to build pipelines and applications for analytical data in Python.
Familiarity with the environment of Python's data science and the various resources required to continue evolving as a data scientist.

Course Topics

  • Basics of Python for Data Science

    • Basic Concept
      Data Structures
      Control & Loop Statements
      Functions & Classes
      Working with Code & Data
      Opps Concept

  • Data Frame Manipulation

    • Data collection (Import & Export)
      Sorting & Description selection and fitting
      Concise statistics
      Combination and combining/merging of data frames
      Deleting duplicates
      Discretization and binning
      Manipulation of strings
      Indexation

  • Exploration of Data Analysis

    • Visualization of the Data & EDA

  • Time Series Forecasting

    • Concept of time series & its visualization of components
      Exponential smoothing
      Holts model
      Holt-Winters model
      ARIMA
      ARCH & GARCH

  • Unsupervised Learnings

    • K- Clustering

  • Dimensionality Reduction

    • PCA - Principal Component Analysis
      Scree Plot
      One-Eigen Value Criterion
      Factor Analysis

  • Introduction to Machine Learning

    • Machine Learning Modelling Flow
      How to treat Data in ML
      Parametric & Non-Parametric ML Algorithm
      Types of Machine Learning
      Bias-Variance Trade-off
      Overfitting & Underfitting
      Optimization Techniques
      Scikit-Learn Library

  • Supervised Learning

    • Linear Regression
      Linear Regression with Stochastic Gradient Descent,Batch GD
      Optimizing Learning Rate
      Momentum

  • Logistic Regression

    • Logistic Regression with Stochastic Gradient Descent, Batch GD
      Optimizing Learning Rate
      Momentum

  • K Nearest Neighbour

    • Understanding KNN
      Voronoi Tessellation
      Choosing K
      Distance Metrics-Euclideam, Manhattan, Chebyshev

  • Decision Tree & Random Forest

    • Fundamental Concept of Ensemble
      Hyper-Parameters

  • Support Vector Machine

    • What is SVM?
      When do you use SVM?
      Understanding Hyperplane
      What is Support Vector?
      Understanding Langragian Multiplier, Karush Kuhn Tucker Conditions
      SVM Kernels-Radial Basis Function, Gaussian Kernel, Linear Kernel

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Frequently Asked Questions

IPsolutions has assisted students for successful leap into their career; by equipping them with the necessary skills which are relevant for different types of job roles in IT sector. IPsolutions is connected with placement partners and is able to generate relevant job openings for its students. As an IPsolutions student, you may avail these job opportunities and get a head start into your careers. If you are not a student from IPsolutions, you can enroll for career program in IPsolutions and get a head start into your careers.

Placement assistance is available for all and you can enquire by calling or by enrolling on the website. The placement assistance is purely based upon the criteria received from clients. This is based on your performance, 10th, 12 th , Graduation percentage, communication and the skills that you possessed. Year of passing, age and other factors are defined for the Placement Assisted Programs.

For IPsolutions students, after successful completion of the course and meeting the defined performance levels, you may apply for placement assistance program. The student is also expected to clear the placement screening process at the end of program. Those who have not enroll for any courses in IPsolutions, they can be still part of placement program by enrolling yourself for placement program. The screening process will remain the same for non IPsolutions candidates. During the screening process, your CV and skills will be evaluated and based on it an aptitude test will be conducted. This test can be given from anywhere with smartphone/computer with internet connectivity. You can refer the link “Exam” as a demo test.

You may apply for IPsolutions Placement Assistance by approaching them walk-in or by calling them for enrollment. You need to send your CV at career@ipsol.in for evaluation. The placement assistance team will further connect with you for screening and evaluating your skills.

Yes, you can apply for placement assistance PAN India. IPsolutions placement team will assist you with the process and all relevant information. We are in currently holding discussions with recruitment agencies outside Mumbai so that placement assistance can be extended to participants from other places in India. However, all travel and stay arrangement will be borne by student.

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