Data Analytics Training by Experts


Our Training Process

Data Analytics - Syllabus, Fees & Duration

  1. Learn Python Program from Scratch

    Programming is an increasingly important skill; this program will establish your proficiency in handling basic programming concepts. By the end of this program, you will understand object -oriented programming; basic programming concepts such as data types, variables, strings, loops, and functions; and software engineering using Python.
  2. Statistical and Mathematical Essential for Data Science

    Statistics is the science of assigning a probability through the collection, classification, and analysis of data. A foundational part of Data Science, this session will enable you to define statistics and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, distribution. Understanding the data is the key to perform Exploratory Data analysis and justify your conclusion to the business or scientific problem.
  3. Data Science with Python

    Perform fundamental hands-on data analysis using the Jupyter Notebook and PyCharm based lab environment and create your own Data Science projects learn the essential concepts of Python programming and gain in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping, and natural language processing. Python is a required skill for many Data Science positions.
  4. Database

    A database is an organized collection of structured information, or data, typically stored electronically in a computer system. A database is usually controlled by a database management system (DBMS). Company data are store in databases and later on retrieved using python to develop analytics and bring insights to business problems.
  5. Machine Learning

    It will make you an expert in Machine Learning, a subclass of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for your role with advanced Machine Learning knowledge.
  6. Data Analytics with R:

    The Data Science with R enables you to take your data science skills to solve multiple problems with statistical and related libraries. The course makes you skilled with data wrangling, data exploration, data visualization, predictive analytics, and descriptive analytics techniques. You will learn about R from basics with installation to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
  7. Visualization with Tableau

    Data Science with Tableau helps to see and understand data solving various business problems. Our visual analytics platform is transforming the way people use data to solve problems. C ourse enables you to create visualizations, organize data, and design plots and develop dashboards to bring more insights to the problem. Learn various concepts of Data Visualization, combo charts, working with filters, parameters, and sets, and building interactive dashboards.
  8. Visualization with Power BI

    This Power BI deals with how to handle multiple data sources, extract them perform various data filtering, manipulations, understanding the patterns in data and create customized dashboards with powerful developer tools It is suitable for business intelligence (BI) and reporting professionals, data analysts, and professionals working with data in any sector.

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, and Data Processing, Modules, Packages, String and List Methods, and Exceptions, File Handlings. Regular expressions, the Object - Oriented Approach: Classes, Methods, Objects, and the Standard Objective Features; Exception Handling, and 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 Interfa ce, Web Dataand Database, Charts-Pie, Bar Charts, Boxplots, Histograms, LineGraphs, Mean, Median and Mode, Regression- Linear, Multiple, Logistic, Poisson, Distribution-Normal, Binomial, Analysis-Covariance, Time Series, Survival, Nonlinear Least Square, DecisionTree, 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 Functions, Joins 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

Data Analytics Jobs in Cairns

Enjoy the demand

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

  • 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 Cairns
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. 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. 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. Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. These courses are offered by various educational institutions, including universities, online platforms, and specialized training providers.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Cairns

  • CairnsPrecisionBookkeeping | Location details: | Classification: Bookkeeping service, Bookkeeping service | Visit Online: | Contact Number (Helpline): +61 408 954 980
  • FirstAidAcademy | Location details: 36 Florence St, Cairns City QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 7 4040 2050
  • CQUniversityCairns | Location details: 42-52 Abbott Street & Shields Street, Cairns City QLD 4870, Australia | Classification: University, University | Visit Online: | Contact Number (Helpline): +61 132786
  • Lifeline | Location details: 188-198 Aumuller St, Cairns City QLD 4870, Australia | Classification: Crisis center, Crisis center | Visit Online: | Contact Number (Helpline): +61 7 4050 4933
  • FirstAidCourseCairns | Location details: 34 Esplanade, Cairns City QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 8 8382 4677
  • BIGWCairns | Location details: 537 Mulgrave Rd, Earlville QLD 4870, Australia | Classification: Department store, Department store | Visit Online: | Contact Number (Helpline): +61 7 4058 5350
  • CairnsTruckSchool&TrainingCentre | Location details: 8 Spoto St, Woree QLD 4868, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 409 471 817
  • A1BookkeepingCairns | Location details: 3/178 McManus St, Whitfield QLD 4870, Australia | Classification: Bookkeeping service, Bookkeeping service | Visit Online: | Contact Number (Helpline): +61 417 987 155
  • YourCourses | Location details: 29 Shields St, Cairns City QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 1300 698 020
  • JCU:JamesCookUniversity,Australia,Cairns,Nguma-badaCampus,Smithfield | Location details: 1/14-88 McGregor Rd, Smithfield QLD 4878, Australia | Classification: University, University | Visit Online: | Contact Number (Helpline): +61 7 4232 1111
  • CairnsTrainingAcademy | Location details: Wren Ct, Bayview Heights QLD 4868, Australia | Classification: School, School | Visit Online: | Contact Number (Helpline): +61 7 4054 5511
  • CalculatingWomen | Location details: 25-31 Grafton St, Cairns City QLD 4870, Australia | Classification: Bookkeeping service, Bookkeeping service | Visit Online: | Contact Number (Helpline): +61 7 4222 1620
  • Pro-LiftTrainingFNQ | Location details: 39 Moffat St, Cairns North QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 7 4214 0129
  • EIMTraining | Location details: Level 2/67 Lake St, Cairns City QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +61 7 5575 7575
  • InternationalHouse | Location details: 130 McLeod St, Cairns City QLD 4870, Australia | Classification: , | Visit Online: | Contact Number (Helpline):
  • AustralianTrainingWorks | Location details: 12A Aplin St, Cairns City QLD 4870, Australia | Classification: Employment center, Employment center | Visit Online: | Contact Number (Helpline): +61 7 4049 2897
 courses in Cairns
The Cairns area has historical and social significance for the influx of many different types of migrants who settled in the area largely due to the original mineral resources and later industrial development. How is that important? The City of Cairns (City of Cairns) and the Cairns District are of historical, technical and social importance to the State of Queensland. The Cairns area is of historical importance for the development of an agricultural industry suited to the special tropical climate. The types and diversity of workers dependent on emerging industries have great historical and social significance for the Cairns region. Railway provision played an important role in the development of the region, including the heavy construction of the Running Line in 1886 and the linking of the railway north and south of in 192 , which later connected Cairns to Brisbane. The remote location of the city depended on the port and also led to the development of railways, trams, roads and later an airport, taking into account the growing need to transport goods, equipment and people to the development area. Timber was one of the earliest industries in Far North Queensland, timber being felled in the early 1870s, before Cairns itself was established. The climatic conditions in the Cairns area were found to be ideal for growing sugar cane at degrees and this led to the establishment of the sugar industry. Cairns is located on a narrow coastal plain surrounded mostly by mountain ranges. heritage ALLIANCE Job 2009-20 Thematic History of Cairns vi The Second World War significantly changed activities in and around Cairns, especially after the fall of Singapore in 19 2 when it became an important base.

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