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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25+

Data Analytics Jobs in Carrickfergus

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

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

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Data Analytics Internship/Course Details

Data Analytics internship jobs in Carrickfergus
Data Analytics 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. 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. Data analytics training involves acquiring the knowledge and skills needed to analyze and interpret data to make informed business decisions. Here are some common components of a data analytics course:. Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. 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.

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List of Training Institutes / Companies in Carrickfergus

  • FrogDigitalMedia | Location details: 36 Beltoy Rd, Carrickfergus BT38 9BH, United Kingdom | Classification: Software company, Software company | Visit Online: frogdigitalmedia.com | Contact Number (Helpline): +44 28 9332 8976
courses in Carrickfergus
12 Wherever the exact point of the original St Mary's Abbey may have been, it was easily not erected conterminous to the castle, but at a seaside position outside the city. When the earldom contracted during the Gaelic rejuvenescence of the late medieval period, Carrickfergus's position allowed it to serve as an village of the central government and as a centre for trade with the Gaelic outback. 8 He erected the massive upkeep at Carrickfergus soon after his appearance, conceivably by 1178, and of all the protective spots that he developed, Carrickfergus had the largest garrison throughout the early medieval period. The body of Fergus Mor was supposed to have been taken to Monkstown, eight km west of Carrickfergus, where his bones were displayed as bones, 4 maybe suggesting the absence of a religious house at Carrickfergus in the sixth century. 506 is said to have colonised corridor of the west seacoast of Scotland from east Ulster, and established the Dalriadic area there. 1560( Chart 4), confirms that the monastery on the eastern edge of the city was supplied also by water from the northeast. St Nicholas's Church appears on the city chart of 1560 bounded by rectilinear dikes on all sides. According to historians, King Fergus was tormented with a skin complaint and returned to Ulster in bulletin 531 in hunt of a cure from a well at Carrickfergus. The shop ponds and races that powered the east manufactories during the seventeenth century survived, like those of the west manufactories, down to the late nineteenth century, and were fed by artificial channels diverted from the Sullatober water, one km north- east of the city. Trading' at the church door' was a not uncommon medieval practice, and in the seventeenth century it was recorded that rents for customs were to be paid at the veranda .

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