Best Analytics (Python) Specialist Training in Noida

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Croma Campus provides Best Analytics (Python) Specialist Training in Noida  as per the current industry standards. Our training programs will enable professionals to secure placements in MNCs. Croma Campus is one of the most recommended Analytics (Python) Specialist Training Institute in Noida that offers hands on practical knowledge / practical implementation on live projects and will ensure the job with the help of advance level Analytics (Python) Specialist Training Courses. At Croma Campus Analytics (Python) Specialist Training in Noida  is conducted by specialist working certified corporate professionals having 8+ years of experience in implementing real-time Analytics (Python) Specialist projects.

Croma Campus is well-equipped Analytics (Python) Specialist Training Center in Noida . Candidates will implement the following concepts under Analytics (Python) Specialist :  Introduction To Type Of Data Variables, Data Summarization Techniques, Building A Data Dictionary, Univariate Analysis, Bivariate Analysis, Outlier Treatment, Missing Value Treatment  on real time projects along with Analytics (Python) Specialist Placement Training modules like aptitude test preparation etc.

Croma Campus is the well-known Analytics (Python) Specialist Training Center in Noida  with high tech infrastructure and lab facilities. We also provide online access of servers so that candidates will implement the projects at their home easily. Croma Campus in Noida mentored more than 3000+ candidates with Analytics (Python) Specialist Certification Training in Noida at very reasonable fee. The course curriculum is customized as per the requirement of candidates/corporates.

In addition to this, our classrooms are built-in with projectors that facilitate our students to understand the topic in a simple manner.

Croma Campus is one of the best Analytics (Python) Specialist Training Institutes in Noida with 100% placement support. We are following the below “P3-Model (Placement Preparation Process)” to ensure the placement of our candidates: View Our Latest Placement Record

Our strong associations with top organizations like HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM etc. makes us capable to place our students in top MNCs across the globe. We have placed thousands of students according to their skills and area of interest that makes us preferred Analytics (Python) Specialist Training Institute in Noida . Next, we closely monitor the growth of students during training program and assist them to iease their performance and level of knowledge.

Analytics (Python) Specialist Training Course Topics:

Why you should join Croma Campus for Analytics (Python) Specialist Training in Noida

Top Reasons which makes us best among all others:

  • We provide video recording tutorials of the training sessions, so in case if candidate missed any class he/she can utilize those video tutorials.
  • All our training programs are based on live industry projects.
  • All our training programs are based on current industry standards.
  • Our training curriculum is approved by our placement partners.
  • Training will be conducted on daily & weekly basis and also we can customize the training schedule as per the candidate requirements.
  • Live Project based training with trainers having 5 to 15 years of Industry Experience.
  • Training will be conducted by certified professionals.
  • Our Labs are very well-equipped with latest version of hardware and software.
  • Our classrooms are fully geared up with projectors & Wi-Fi access.
  • 100 % free personality development classes which includes Spoken English, Group Discussions, Mock Job interviews & Presentation skills.
  • You will get study material in form of E-Book’s, Online Videos, Certification Handbooks, Certification Dumps and 500 Interview Questions along with Project Source material.
  • Worldwide Recognized Course Completion Certificate, once you’ve completed the course.
  • Flexible Payment options such as Cheques, EMI, Cash, Credit Card, Debit Card and Net Banking.

Croma Campus Corporate Trainers Profile for Analytics (Python) Specialist Training in Noida

Croma Campus Analytics (Python) Specialist Trainers are:

  • Trainers are certified professionals with 10+ years of experience in their respective domain as well as they are currently working with Top MNCs
  • As all Trainers are working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Tech Mahindra, TCS, HCL Technologies, IBM, Birlasoft, L&T InfoTech, Cognizant and Capgemini.
  • Trainers are also helps candidates to get placed in their respective company by Employee Referal / Internal Hiring process.

Placement facility during Analytics (Python) Specialist Training in Noida

Croma Campus Placement Process:

  • Croma Campus associated with top organizations like HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM etc. make us capable to place our students in top MNCs across the globe. See Croma Campus Recent Placement Clients
  • HR team conducts grooming sessions in grooming session hr team focuses on personality development, how to interact with interviewers, how to speak English, how to handle & control nervousness & how to represent your point of view in front of interviewer.
  • After completion of 70% training course content, we will arrange the interview calls to students & prepare them to F2F interaction. See Croma Campus Recent Placed Candidates
  • We are following the below “P3-Model (Placement Preparation Process)” to ensure the placement of our candidates:
    • Live Project based Training by Certified Industry Professional.
    • Corporate Study Material along with Assignments.
    • Trained Candidates on Aptitude & Test Papers.
    • CV Designing as per the JD (Job Description).
    • Prepare Candidates for HR Interview (HR Q&A).
    • Schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge.
    • Provide Job Portal Credentials so that to Candidates can apply the job.
    • Schedule Interview with Companies till Placement.

Data Exploration

  • Introduction To Type Of Data Variables
  • Data Summarization Techniques
  • Building A Data Dictionary
  • Univariate Analysis
  • Bivariate Analysis
  • Outlier Treatment
  • Missing Value Treatment.
  • Case Study = Building A Data Dictionary And Exploratory Data Analysis Report For A Client After You Recieved Client Data.
    • Assignment = Generate A Exploratory Analysis Report
    • Tool = Excel

Descriptive statistics

  • Measures of central tendency
  • Measures of dispersion
  • Range
  • Skewness
  • Interpretation of histograms
  • Research methodologies
  • Case Study = None
    • Assignment = Practice Exercises + Doubt Clearing + Answers
      Tool = Excel

Inferential statistics

  • Basics of probability theory. Bayes Theorem
  • Probability distribution functions – Uniform, Bernoulli, Binomial, Normal, Log Normal, T
  • Continuous probability distributions
  • Hypothesis testing – 1 Sided tests, 2-Sided tests. F test. T test. Chi Sq Test. ANOVA
  • Case Study = Application of inferential tests
    • Assignment = Practice Excercises + Doubt Clearing + Answers
      Tool = Excel

Introduction to Python

  • Introduction to Python
  • Comparison of R
  • SAS & Python
  • Installing Python
  • General programming rules
  • Data structures
  • Operators.
  • Case Study = None

    • Assignment = Practice Excercises + Doubt Clearing + Answers
      Tool = Python

Python Programming – Fundamentals

  • Control flow basics
  • Custom functions
  • All about libraries
  • Numpy & Scipy libraries
  • Case Study = Case Study on Data Analysis

    • Assignment = Practice Excercises + Doubt Clearing + Answers
      Tool = Python

Python Programming – Data Manipulation

  • Data manipulation using Pandas
  • Import and export
  • Database access with SQL.
  • Case Study = Case Study on Data Analysis

    • Assignment = Practice Excercises + Doubt Clearing + Answers
      Tool = Python

Python Programming – Statistics & Visualization

  • Statistics and visualization using Python.
  • Case Study = Case study on data exploration & insight generation

    • Assignment = Practice Excercises + Doubt Clearing + Answers
      Tool = Python

Python Programming – Application Development

  • Application Development using Python.
  • Case Study = Case study on building a standalone application using Python

    • Assignment = Practice Excercises + Doubt Clearing + Answers
    • Tool = Python

Linear Regression

  • Introduction to linear regression technique & its uses
  • Details of ordinary least squares estimation technique
  • Modeling steps
  • Variable handling
  • Model statistics interpretation
  • Validation of linear regression assumptions
  • Metrics to measure model performance.
  • Case Study = Case study on predicting house prices using real data.

    • Assignment = Case study on insurance claims using real data.
    • Tool = Python

Logistic Regression

  • Introduction to logistic regression technique & its uses
  • Maximum likelihood estimation technique
  • Modeling steps
  • Dependant variable definition
  • Variable handling
  • Weight of Evidence & Information Value
  • Variable reduction
  • Model statistics intepretation
  • Metrics to measure model performance
  • Case Study = Case study on predicting churn for a large telecom operator using real data.

    • Assignment = Case study on predicting customer cross sell for a large retailer using real data.
    • Tool = Python

Time series forecasting

  • Learn basic concepts of time series modeling
  • Basic techniques for forecasting
  • Smoothing techniques
  • Decomposition
  • Understanding the fundamentals of ARIMA
  • ARIMA modeling, model estimation & interpretation
  • Forecasting with regression and time series data
  • ARIMAX or dynamic regression models to build forecasting models with multiple regressors
  • Case Study = Case study on predicting sales for a large european retailer using real data.

    • Assignment = Case study on predicting call volumes for a call centre.
    • Tool = Python

Clustering

  • Introduction to clustering
  • Types of clustering & their uses
  • K-Means clustering
  • Hierarchical clustering
  • Case Study = Case study on retail customer segmentation using K Means clustering techniques on real data.

    • Assignment = Case study on product categorization using hierarchical clustering on real data.
    • Tool = Python

Introduction to machine learning

  • How do machines learn?
  • Choosing a machine learning algorithm
  • Using Python for machine learning.
  • Case Study = None

    • Assignment = None
    • Tool = Python

Classification using Nearest Neighbors

  • Understanding classification using nearest neighbors
  • The kNN algorithm – Calculating distance
  • Choosing an appropriate k
  • Preparing data for use with kNN.
  • Case Study = Case study on diagnosing breast cancer using kNN algorithm.

    • Assignment = Case study on classifying the IRIS dataset using KNN
    • Tool = Python

Classification using Naive Bayes

  • Understanding Naïve Bayes – basic concepts & algorithm.
  • Case Study = Case study on filtering mobile phone spam with the naive Bayes algorithm.

    • Assignment = Case study on using Naïve Bayes Classifier to predict cancer
    • Tool = Python

Classification using decision trees and rules

  • Understanding decision trees
  • C5.0 decision tree algorithm
  • Understanding classification rules.
  • Case Study = Case study on identifying risky bank loand using C5.0 decision trees.

    • Assignment = Case study on identifying poisonous mushrooms with rule learners.
    • Tool = Python

Neural Networks

  • Understanding neural networks. Activation functions. Network topology. Training neural networks with backpropagation.
  • Case Study = Case study on modeling the strength of concrete with neural network.

    • Assignment = Case study on fitting a neural network model to predict the median value of owner-occupied homes (medv) using all the other continuous variables available.
    • Tool = Python

Support Vector Machines

  • Understanding SVM. Classification with hyperplanes. Finding the maximum margin. Using kernels for nonlinear spaces.
  • Case Study = Case study on optical character recognition using SVM.

    • Assignment = Case study on classifying telecom churn using SVM
    • Tool = Python

Market basket analysis

  • Understanding association rules. Apriori algorithm.
  • Case Study = Case study on frequently purchased items for a large retailer.

    • Assignment = Case study to use transactions from an open source dataset to find association rules using Apriori
    • Tool = Python

Text mining

  • Main concepts and components of text mining
  • Text mining tasks and approaches
  • An understanding of the art of the possible in Text Analytics – the applicability
  • components and benefits
  • Case Study = Case study on analysis of book reviews on Amazon

    • Assignment = Practice case study on text mining on book reviews
    • Tool = Python

Social media Analysis

  • Learn different text mining techniques to discover various textual patterns from the social sites.
  • Learn how to
    • Access twitter data
    • Build frequent term network  Topic modelling
    • Analysis of followers & retweets
  • Case Study = Case study to access a twitter account and create several visualizations to draw interesting insights

    • Assignment = Practice case study on text mining using another twitter account
    • Tool = Python

Sentiment Analysis

  • Understand sentiment analysis and its key concepts
  • Sentiment polarity
  • Opinion summarization
  • Feature extraction
  • Classification based algorithms
  • Application of SVM.
  • Case Study = Case study to perform sentiment analysis on tweets

    • Assignment = Practice case study on sentiment analysis using another twitter account
    • Tool = Python

Please write to us at info@cromacampus.com for the course price, schedule & location.

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Frequently Asked Questions:

All training courses offered by us are through IT Professional with 10+ years of experience. Freshers/College Students/Professionals(IT & Non-IT) can spot the quality of training by attending one lecture. Hence, we provide one free demo class to all our trainees so that they can judge on their own.

No, you don’t have to pay anything to attend the demo class. You are required to pay the training fee after free demo only if you are fully satisfied and want to continue the training.

To register for free demo, visit our campus or call our counsellors on the numbers given on contact us page.

Yes, all the trainees shall work on live projects provided by Croma Campus after completing their training part.

You will never lose any lecture. You can choose either of the two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Please note, access to the course material will be available for lifetime once you have enrolled into the course.

Yes, Training certificate & Project completion will be issued by Croma Campus(ISO 9001-2000 Certified Training Center)

Yes, Croma Campus conduct special training programs on week end for college students throughout the year.

Croma Campus is the largest education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don’t guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

Yes, Course Fee can be paid in two equal installments with prior Approval.

Yes, Croma Campus offer various group or special discounts.

No, Lab is open from 8 A.M. to 8 P.M. seven days a week. This time can be extended upto 11 PM if need arises.

Yes, students can take breaks during their exams and can resume it later without paying any fee. Apart from this, Students can attend batches for revision even after completion of their courses.

Batch strength differ from technology to technology. Minimum batch strength at Croma Campus is 10 and maximum batch strength is 30.

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Course Features

Get Practical and Well focused training from Top IT Industry experts.

Get Routine assignments based on learning from previous classes.

Live project, during or after the completion of the syllabus.

Lifetime access to the learning management system including Class recordings, presentations, sample code and projects

Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion

Get certification after the course completion.

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