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Data Analytics Using Python Training In Chennai

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Data Analytics Using Python Training

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Credo Systemz providing Data analysis using python course in Chennai with industry experts. Our Data Analysis using Python course Curriculum is designed how to analyze data using Python packages like pandas and numpy etc. Also, EDA Python Course in Chennai helps you to learn Python, Data Analysis and machine learning concepts with clear understanding

About Data Analytics Using Python Course

What is Exploratory Data Analysis (EDA)?

Exploratory data analysis is a paramount part of Data Science which allows the analyst to make the decision of their data sets and establish idea using relationship between the data sets. Ultimately, EDA analysing the dataset with Visual and Statistical results.

Why Exploratory Data Analysis with Python?

For EDA techniques statistical graphs and data visualization are important for analyzing the data, So using Python packages like Numpy, pandas features are play critical role in Exploratory Data Analysis.

Brush up Python basics for your ultimate Exploratory data Analysis

What are Prerequisites are need to learn Exploratory Data Analysis Python Course?

Having knowledge on Python is helpful to quick learning. But if you don’t have knowledge on Python, then No worries about it. Our training program scratches basic level Python concepts to advanced Python packages.

Knowledge on Data Visualization and statistical would be added advantage.

Key Features

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DATA ANALYSIS USING PYTHON TRAINING

Get Free Session  Course Content
  • Overview
  • Course Content
  • Program Details
  • Reviews
In the current era of Data and Information Data Analytics play a major role in analyzing the raw data to conclude about the information it has using different software and systems. Data Analytics has currently been used in different domains to make more informed business decisions which help the organization to improve.

Data Analytics uses different processes and techniques like Business Intelligence, Online Analytics processing and advanced analytics to inspect the date and transform into useful information.

Course Features

  • Duration60 hours
  • Skill levelAll level
  • Batch Strength15
  • AssessmentsYes
  • Mock InterviewsYes
  • Resume BuildingYes
  • PlacementsYes
  • Flexible TimingYes
  • Fee InstallmentsYes
  • LanguageTamil/English
CHAPTER 1: Python – a brief tour
  • Why Python? (U.S.P of Python)
  • Python object model
  • Installing Python environment & package management
  • Interactive learning using Jupyter notebooks
  • Python data structures
  • Python control structures & statements
  • Useful Python built-in functions
  • Functional programming
  • Modules and namespaces
  • Useful Python built-in and third-party modules
  • Object oriented programming
  • Real world examples
  • Exercise
CHAPTER 2: Data Analysis
  • Importance of data in current scenario
  • Numpy arrays and vectorized computation
  • Broadcasting using Numpy arrays
  • Numpy ufuncs
  • Take a dive into pandas
  • Series, Dataframe and Index objects in pandas
  • Analysis of structured and semi-structured data using pandas
  • Data loading, storage and file formats
  • Generating insights from data
  • Data cleaning and preparation
  • Data wrangling: Join, combine and reshape
  • Plotting and visualization
  • Data aggregation and group operations
  • Time series
  • Advanced pandas features

Impressed with our Course Content?
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CHAPTER 3: Statistics
  • Introduction and Data collection
  • Descriptive statistics
    • Measures of central tendency
    • Variation and shape
    • Sampling and population
    • Empirical rule and Chebychev rule
    • Covariance and Coefficient of Correlation
  • Probability
    • Concepts of basic probability
    • Conditional probability
    • Bayes’ Theorem
  • Probability distributions
    • Probability distribution for a discrete random variable
    • Discrete distributions - Binomial and Poisson distribution
    • Continuous distribution - Normal distribution
    • Sampling and sampling distributions
  • Hypothesis testing
    • Concepts
    • Null & Alternative hypothesis
    • Critical value of test statistics
    • Regions of rejection and acceptance
    • Critical value approach and p-value approach
    • One-tail & two-tail tests
    • Real world problems
  • Regression
    • Linear regression
    • Multiple linear regression
    • Logistic regression
  • Decision Analysis
    • How to structure a decision problem
    • Decision tree
    • Random forest
CHAPTER 4: Data analysis exercises
  • UCI machine learning repositories
  • Kaggle repository
  • Food database
  • Titanic dataset
  • Movie dataset
  • e-commerce dataset
  • Federal election commission dataset
  • CredirRisk dataset
  • Pima-indians dataset
  • World-alcohol dataset
  • Primary school dataset
  • CardioGoodfitness dataset
  • Car-mpg dataset

You will be going through detailed 2 to 3 months of Exploratory Data Analysis Python Training Hands-on training


  • Detailed instructor led sessions to help you become a proficient Expert in Exploratory Data Analysis Python Training.
  • Build a Exploratory Data Analysis Python Training professional portfolio by working on hands on assignments and projects.
  • Personalised mentorship from professionals working in leading companies.
  • Lifetime access to downloadable Exploratory Data Analysis Python Training course materials, interview questions and project resources.
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Credo Systemz - Velachery, Chennai
Call Us +91 9884412301

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Credo Systemz - OMR, Chennai
Call Us +91 9600112302

Check here for candidates feedback on Exploratory Data Analysis Python Training Training through
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  • Overview
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  • EDAP Program Details
  • Reviews

Learning objectives of Exploratory Data Analysis Python Training

  • Hands on Knowledge on Python and Functional Programming
  • Working with third party modules
  • Real time experience in data with current scenario
  • Gaining the complete knowledge on Numpy and its arrays
  • Aspirants to be familiar with pandas and its features
  • Master in concept of Statistics and Hypothesis testing
  • Understand the concepts of Decision analysis using decision tree and random forest
  • Real time experience in school dataset, Movie dataset, Food database,e-commerce dataset, CardioGoodfitness dataset, etc.,

Data Analytics Course in Chennai

The need for Data Analytics certification course in Chennai has been increasing day by day because of the more number of available job opportunities for a professionally certified Data Analyst and Data Scientist.

Data Analytics course in Credo Systemz is been ranked as the No.1 training institute in Chennai because of the professional practical training approach handled down by experts in the field. Each course sections is been framed with assignments which relate the live scenarios and real-time processes.

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Medavakkam, Adyar, Tambaram, Adambakkam, OMR, Anna Salai, Velachery, Ambattur, Ekkattuthangal, Ashok Nagar, Poonamallee, Aminjikarai, Perambur, Anna Nagar, Kodambakkam, Besant Nagar, Purasaiwakkam, Chromepet, Teynampet, Choolaimedu, Madipakkam, Guindy, Navalur, Egmore, Triplicane, K.K. Nagar, Nandanam, Koyambedu, Valasaravakkam, Kilpauk, T.Nagar, Meenambakkam, Thiruvanmiyur, Nungambakkam, Thoraipakkam, Nanganallur, St.Thomas Mount, Mylapore, Pallikaranai, Pallavaram, Porur, Saidapet, Virugambakkam, Siruseri, Perungudi, Vadapalani, Villivakkam, West Mambalam, Sholinganallur.

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