Data Analytics Training by Experts

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Our Training Process

Data Analytics - Syllabus, Fees & Duration

  1. Learn Python Program from Scratch

    • Basic programming concepts
    • Object -oriented programming
    • Data types, variables, strings, loops, and functions
    • Software engineering using Python.
  2. Statistical and Mathematical Essential for Data Science

    • Collection, classification, and analysis of data
    • A foundational part of Data Science
    • Explain measures of central tendency and dispersion
    • comprehend skewness, correlation, regression, distribution
  3. Data Science with Python

    • Jupyter Notebook and PyCharm based lab environment
    • Machine Learning
    • Data visualization
    • Web scraping
    • Natural language processing
  4. Database

  5. Machine Learning

    • Mathematical and heuristic aspects
    • Hands-on modeling to develop algorithms
    • Advanced Machine Learning knowledge.
  6. Data Analytics with R:

    • Data wrangling
    • data exploration
    • data visualization
    • predictive analytics
    • descriptive analytics techniques
    • import and export data in R
    • data structures in R
    • various statistical concepts
    • cluster analysis
    • forecasting
  7. Visualization with Tableau

    • Data Visualization
    • combo charts
    • working with filters
    • parameters
    • sets
    • building interactive dashboards
  8. Visualization with Power BI

    • Data filtering
    • Data manipulations
    • understanding the patterns in data
    • create customized dashboards with powerful developer tools

Technologies Training:

  • Python:

    • Introduction to Python and Computer Programming
    • Data Types
    • Variables
    • Basic Input -Output Operations
    • Basic Operators
    • Boolean Values
    • Conditional Execution
    • Loops
    • Lists and List Processing
    • Logical and Bitwise Operations
    • Functions
    • Tuples
    • Dictionaries
    • Sets
    • Data Processing
    • Modules
    • Packages
    • String and List Methods
    • Exceptions
    • File Handlings
    • li> Regular expressions
    • the Object - Oriented Approach: Classes, Methods, Objects
    • Standard Objective Features; Exception Handling
    • Working with Files
  • R:

    • R Introduction
    • Data Inputting in R
    • Strings
    • Vectors
    • Lists
    • Matrices
    • Arrays Functions and Programming in R
    • Data manipulation in R
    • Factors
    • DataFrame
    • Packages
    • Data Shaping
    • R-Data Interface
    • Web Data and Database
    • Charts-Pie
    • Bar Charts
    • Boxplots, Histograms
    • LineGraphs
    • Mean
    • Median
    • Mode
    • Regression-Linear
    • Multiple
    • Logistic
    • Poisson
    • Distribution-Normal
    • Binomial
    • Analysis-Covariance
    • Time Series, Survival
    • Nonlinear Least Square
    • Decision Tree
    • Random Forestc
  • MySQL

    • MySQL – Introduction
    • Installation
    • Create Database
    • Drop Database
    • Selecting Database
    • Data Types
    • Create Tables
    • Drop Tables
    • Insert Query
    • Select Query
    • WHERE Clause
    • Update Query
    • DELETE Query
    • LIKE Clause
    • Sorting Results
    • Using Joins
    • Handling NULL Values
    • ALTER Command
    • Aggregate functions
    • MySQL Clauses
    • MySQL Conditions
  • Matplotlib:

    • Scatter plot
    • Bar charts
    • histogram
    • Stack charts
    • Legend title Style
    • Figures and subplots
    • Plotting function in pandas
    • Labelling and arranging figures
    • Save plots.
  • Seaborn:

    • Style functions
    • Color palettes
    • Distribution plots
    • Categorical plots
    • Regression plots
    • Axis grid objects.
  • NumPy

    • Creating NumPy arrays
    • Indexing and slicing in NumPy
    • Downloading and parsing data Creating multidimensional arrays
    • NumPy Data types
    • Array attributes
    • Indexing and Slicing
    • Creating array views copies
    • Manipulating array shapes I/O.
  • Pandas:

    • Using multilevel series
    • Series and Data Frames
    • Grouping
    • aggregating
    • Merge Data Frames
    • Generate summary tables
    • Group data into logical pieces
    • manipulate dates
    • Creating metrics for analysis
    • Data wrangling
    • Merging and joining
    • Data Mugging using Pandas
    • Building a Predictive Mode.
  • Scikit-learn:

    • Scikit Learn Overview
    • Plotting a graph
    • Identifying features and labels
    • Saving and opening a model
    • Classification
    • Train / test split
    • What is KNN? What is SVM?
    • Linear regression
    • Logistic vs linear regression
    • KMeans
    • Neural networks
    • Overfitting and underfitting
    • Backpropagation
    • Cost function and gradient descent, CNNs
  • Tableau

    • Tableau Architecture
    • File Types
    • Data Types
    • Tableau Operator
    • String Functions
    • Date Functions Logical Functions
    • Aggregate FunctionsvJoins in Tableau
    • Types of Tableau Data Source
    • Data Extracts
    • Filters
    • Sorting
    • Formatting
    • Adding Worksheets and Renaming Worksheet In Tableau
    • Tableau Save
    • Reorder and Delete Worksheet
    • Charts
    • dashboard.
  • Power BI

    • Power BI Architecture
    • Components
    • Power BI Desktop
    • Connect to Data in Power BI Desktop
    • Data Sources for Power BI
    • DAX in Power BI
    • Q & A in Power BI
    • Filters in Power BI, Power BI Query Overview
    • Creating and Using Measures in Power
    • Calculated Columns
    • Data Visualizations
    • Charts
    • Area
    • Funnel
    • Combo
    • Donut
    • Waterfall
    • Line
    • Maps
    • Bar
    • KPI
    • Power BI Dashboard

Download Syllabus - Data Analytics
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Data Analytics Jobs in Windsor

Enjoy the demand

Find jobs related to Data Analytics in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Windsor, chennai and europe countries. You can find many jobs for freshers related to the job positions in Windsor.

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Data Engineer
  • Quantitative Analyst
  • Market Research Analyst
  • Operations Analyst
  • Healthcare Analyst
  • Supply Chain Analyst
  • Fraud Analyst

Data Analytics Internship/Course Details

Data Analytics internship jobs in Windsor
Data Analytics Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. Here are some common components of a data analytics course:. Data analytics training involves acquiring the knowledge and skills needed to analyze and interpret data to make informed business decisions. A data analytics course is an educational program designed to teach individuals the skills and knowledge needed to work in the field of data analytics. Here is a step-by-step guide to help you get started with data analytics training: Remember that practice is essential in data analytics. These courses are offered by various educational institutions, including universities, online platforms, and specialized training providers. The content of data analytics courses can vary, but they typically cover a range of topics related to collecting, analyzing, and interpreting data to extract valuable insights.

List of All Courses & Internship by TechnoMaster

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in Windsor

  • HypnosisTrainingIreland | Location details: Windsor Pl, Dublin, Ireland | Classification: Hypnotherapy service, Hypnotherapy service | Visit Online: nghtrainingireland.com | Contact Number (Helpline): +353 21 487 0870
  • EastLondonRemovals | Location details: 92 Windsor Rd, London E7 0RB, United Kingdom | Classification: Moving and storage service, Moving and storage service | Visit Online: eastlondonremovals.london | Contact Number (Helpline): +44 20 3959 3000
  • VisionHonda | Location details: Building No 11/243, Peekay Complex Sy No 434/3 & 434/4,MC Road,Nattakom, near Hotel Windsor Castle, Kottayam, Kerala 686013, India | Classification: Car dealer, Car dealer | Visit Online: dealer.hondacarindia.com | Contact Number (Helpline): +91 86575 89159
  • UNBFacultyOfComputerScience | Location details: 550 Windsor St, Fredericton, NB E3B 5A3 | Classification: University department, University department | Visit Online: cs.unb.ca | Contact Number (Helpline): (506) 453-4666
  • WindsorCareerCollege | Location details: 1625 Albion Rd Suite 203, Etobicoke, ON M9V 5H8 | Classification: Training centre, Training centre | Visit Online: windsorcareercollege.ca | Contact Number (Helpline): (416) 551-5475
  • HypnotherapyTrainingCourseIreland | Location details: Windsor Place, Martin Kiely Hypnosis Centre, 1, Ballyhooly Rd, St Luke's Cross, Cork, T23 PX6N, Ireland | Classification: Training centre, Training centre | Visit Online: hypnotherapytrainingcourseireland.com | Contact Number (Helpline): +353 21 487 0870
  • HypnosisTrainingIreland | Location details: Windsor Pl, Dublin, Ireland | Classification: Hypnotherapy service, Hypnotherapy service | Visit Online: nghtrainingireland.com | Contact Number (Helpline): +353 21 487 0870
  • St.ClairCollegeWindsorCampus | Location details: St. Clair College - Main Building, 2000 Talbot Rd, Windsor, ON N9G 3C3 | Classification: College, College | Visit Online: stclaircollege.ca | Contact Number (Helpline): (519) 966-1656
  • HypnotherapyTrainingCourseIreland | Location details: Windsor Place, Martin Kiely Hypnosis Centre, 1, Ballyhooly Rd, St Luke's Cross, Cork, T23 PX6N, Ireland | Classification: Training centre, Training centre | Visit Online: hypnotherapytrainingcourseireland.com | Contact Number (Helpline): +353 21 487 0870
  • NewEraInstitute | Location details: Suite 13 & 14/100 George St, Windsor NSW 2756, Australia | Classification: Educational institution, Educational institution | Visit Online: newerainstitute.edu.au | Contact Number (Helpline): +61 2 8964 6457
  • Jacobs | Location details: 2nd Floor, Windsor Business Park, B1-D, Sector 10, Noida, Uttar Pradesh 201301, India | Classification: Consultant, Consultant | Visit Online: jacobs.com | Contact Number (Helpline):
  • Levitate | Location details: Floor 2 Office 8, 24 Windsor Pl, Cardiff CF10 3BY | Classification: Web Designer, Web Designer | Visit Online: levitate.digital | Contact Number (Helpline): 07494 879520
  • VenicePiaggio | Location details: M C Road, Near Windsor Castle, Kodimatha, Kottayam, Kerala 686013, India | Classification: Auto broker, Auto broker | Visit Online: | Contact Number (Helpline):
  • KTMKottayam | Location details: M.C.Road, Kodimatha, Nattakom, Near Windsor Castle, Kottayam, Kerala 686013, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: ktm.com | Contact Number (Helpline):
  • WindsorCareerCollege | Location details: 235 Eugenie St W Suite 200, Windsor, ON N8X 2X7 | Classification: Educational institution, Educational institution | Visit Online: windsorcareercollege.ca | Contact Number (Helpline): (519) 971-8066
 courses in Windsor
As well, deeper studies and research is want critical to fully apprehend the scope and nature of what's needed. Clair college students have been greater frequently withinside the School of Business • Almost 1/2 of of college students have been dwelling in Windsor-Essex however studying on-line at the time of the survey 4 Coming to Windsor-Essex • Students most usually selected Windsor-Essex to observe due to the fact this system they need is to be had and fees are greater low priced • Students felt they did now no longer constantly get hold of an correct account of what to anticipate concerning employment and housing in Windsor-Essex Housing • The substantial majority of college students lived off campus • Living off campus turned into the end result of each the fee of campus accommodations and a loss of culturally suitable meals • Students have been usually capable of stay near transportation and amenities • Roughly thirds of college students observed housing extraordinarily easily, that they observed to be low priced and safe • Students had on common four (4) or greater roommates and paid approximately $470 in step with month in rent, despite the fact that variations have been referred to throughout establishments and with the aid of using intercourse • Focus institution contributors felt that scholars underutilized housing sources Finances • The most important supply of earnings for college students turned into family, aleven though households might also additionally now no longer have tons cash • Students trusted employment in Canada and scholar loans from their home country • More than 1/2 of of college students have been concerned approximately having sufficient cash for rent, utilities, tuition, and meals • Students pronounced the use of credit score playing cards and meals banks, in addition to skipping meals, to make ends meet financially (a few variations with the aid of using intercourse have been referred to) • One 5th of college students had taken a mortgage and one in 10 had taken a activity that they felt turned into now no longer safe 5 Employment • Almost 90% of college students stated it turned into tough to search for paintings with over 50% reporting they have been not able to talk to all and sundry in character or get employment offerings • More than 65% needed to search for paintings in every other area and greater than 35% skilled discrimination even as searching out paintings • Online activity forums have been the maximum not unusualplace device college students used to search for paintings • Despite the demanding situations searching out paintings, nearly 70% of college students have been capable of locate paintings even as dwelling in Windsor-Essex, as a scholar and/or after commencement • Almost 20% pronounced running after commencement via the Post-Graduate Work Permit program • Racism and the provision of jobs have been visible as limitations to employment, ensuing in a few college students running out of doors the area • Limits to paintings hours college students are approved turned into additionally diagnosed as a barrier • Students running at some point of faculty observed it tough to get faculty paintings done, but many needed to paintings a couple of activity • Students labored most usually as labourers or clerks, in retail and sales, meals, or business sectors with on-campus paintings tough to locate • Students labored a median of nineteen hours in step with week, maximum at minimal wage • Overall, the enjoy of running turned into positive, despite the fact that locating paintings in their subject of observe turned into tough. This turned into a selected difficulty for college students searching for paintings after commencement Services • Transportation, employment, fitness, and immigration offerings have been among the ones utilized by college students, in addition to housing, activity, and economic offerings • Financial, employment, prison help, and activity offerings have been taken into consideration tough or not possible regions to locate service • Walking and public transit have been the maximum famous approaches to get round. Clair College and UWindsor labored to make college students experience welcome and that the variety of Windsor-Essex makes it a welcoming place • Students spent maximum in their time on campus or across the campus Future Plans • Students believed they understood the system for immigration and have been aware about wherein to locate information • Students have been much less certain approximately wherein to locate assist and whether or not there have been sufficient offerings for college students thinking about immigration • 75% of college students surveyed stated their goal turned into to stay in Canada after commencement. The Windsor Essex Local Immigration Partnership (WE LIP) is interested by higher expertise the needs of global college students locally. The record demonstrates that there are possibilities for development to make Windsor-Essex a welcoming network for global college students. Clair College • UWindsor college students have been most usually withinside the Faculty of Engineering, even as St. For maximum tasks, college students have been capable of circulate round easily, aleven though attending to paintings in a few instances proved greater tough, with recognize to trip time • Students have been usually capable of get admission to fitness care, most usually via campus fitness offerings, aleven though fee and get admission to have been number one concerns • Students have been much less in all likelihood to get hold of intellectual fitness offerings in comparison to bodily fitness offerings. A general of 298 college students took component withinside the survey, even as 15 people representing business, training, and social offerings have been concerned in recognition groups. For this record they retained Munro Strategic Perspective and Creative Momentum Consulting to direct techniques to advantage enter from each global college students and stakeholders withinside the network – a survey and recognition groups.

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