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
Course Fees
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Data Analytics Jobs in Delta

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 Delta, chennai and europe countries. You can find many jobs for freshers related to the job positions in Delta.

  • 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 Delta
Data Analytics 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. Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. 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 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. These courses are offered by various educational institutions, including universities, online platforms, and specialized training providers. Here is a step-by-step guide to help you get started with data analytics training: Remember that practice is essential in data analytics.

List of All Courses & Internship by TechnoMaster

Success Stories

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List of Training Institutes / Companies in Delta

  • VisasAvenueChennai|CanadaAndAustraliaImmigrationConsultantsInChennai | Location details: Office no 204 , 2nd Floor 177, Delta Wing, Raheja Towers, Anna Salai, Chennai, Tamil Nadu 600002, India | Classification: Immigration & naturalization service, Immigration & naturalization service | Visit Online: visasavenue.com | Contact Number (Helpline): +91 44 4054 7777
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  • DeltaRigConsultantsPvt.Ltd | Location details: Naman Mide Town, B/205, Near India Bull Finance, Senapati Bapat Marg, Near Elphinstone Station, Balasheth Mandurkar Marg, Mumbai, Maharashtra 400013, India | Classification: Recruiter, Recruiter | Visit Online: overseasrecruitment.co.in | Contact Number (Helpline): +91 22 2431 2361
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  • AdvancedWebUK | Location details: Delta House, 48 W Nile St, Glasgow G1 2NP, United Kingdom | Classification: Internet marketing service, Internet marketing service | Visit Online: advancedwebuk.co.uk | Contact Number (Helpline): +44 800 072 5331
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  • DeltaCarz | Location details: Ground floor,N.P Tower, near Bindhu theatre, West Fort, Thrissur, Kerala 680004, India | Classification: Car detailing service, Car detailing service | Visit Online: | Contact Number (Helpline):
  • AramexCourierService | Location details: Delta Complex, 5-3177, UK Sankunni Rd, Behind Air India, Kozhikode, Kerala 673001, India | Classification: Courier service, Courier service | Visit Online: aramex.com | Contact Number (Helpline): +91 495 402 0197
  • AadijaTechnologies | Location details: 4 Government Place North, Kolkata- 700001 Delta House, The Olisha Office 9th floor, Room no – 922, Kolkata, West Bengal 700001, India | Classification: Website designer, Website designer | Visit Online: aadijatechnologies.com | Contact Number (Helpline): +91 97492 04551
  • MeetOverseasConsultant | Location details: Shop No. 102, Ground Floor, Delta Chamber, Garha Rd, Near U.K (VFS), Police Line, Jalandhar, Punjab 144001, India | Classification: Visa consultant, Visa consultant | Visit Online: duckoverseasconsultant.com | Contact Number (Helpline): +91 181 463 8001
  • DeltaComputerServiceCentre | Location details: 53, Banshatta Ln, Khagra, Berhampore, West Bengal 742103, India | Classification: Computer repair service, Computer repair service | Visit Online: | Contact Number (Helpline):
 courses in Delta
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