Data Analytics Training by Experts

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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
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Data Analytics Jobs in Kuwait

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

  • 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 Kuwait
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. 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. 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 Kuwait

  • معهدالنهضةابوحليفة | Location details: 25-33 2 St, Kuwait | Classification: School, School | Visit Online: nahdaintl.com | Contact Number (Helpline): +965 2220 9380
  • STQDragon:تصميممواقعإلكترونية | Location details: الدائري السابع السريع، Kuwait | Classification: Website designer, Website designer | Visit Online: stqdragon.com | Contact Number (Helpline): (819) 300-3890
  • NaifChickenمطعمنايف | Location details: 207, Sabah Al Salem, Kuwait | Classification: Chicken restaurant, Chicken restaurant | Visit Online: naif.com.kw | Contact Number (Helpline): +965 1808 777
  • KpcTrainingCentre | Location details: 33QM+F6W, Ahmadi, Kuwait | Classification: School, School | Visit Online: | Contact Number (Helpline):
  • PKFBouresli&Co. | Location details: 3rd Floor، 16 Fahad Al-Salem Street, Kuwait City, Kuwait | Classification: Accountant, Accountant | Visit Online: pkf.com.kw | Contact Number (Helpline): +965 2227 9330
  • DatalogicBarcodeKuwait | Location details: Shua Complex, Ibn Khaldoun St, Hawally, Kuwait | Classification: Computer store, Computer store | Visit Online: q8supply.com | Contact Number (Helpline): +965 6690 4092
  • KOSA-KuwaitOffshoreSailingAssociation | Location details: Block 14, Salem Sabah Al Salem Al Sabah street, Salem Sabah Al Salem Al Sabah St, Kuwait | Classification: Boat club, Boat club | Visit Online: kosakwt.com | Contact Number (Helpline): +965 9712 1292
  • AutomatedSystemsCompany | Location details: Free zone, Future Area, Plot# : B28, B29, Kuwait | Classification: Software company, Software company | Visit Online: asc-me.net | Contact Number (Helpline): +965 2494 3700
  • ChallengeHealthClub | Location details: Mareena Towers Complex, 216 St, Kuwait | Classification: Fitness center, Fitness center | Visit Online: thechallengekwt.com | Contact Number (Helpline): +965 6969 1136
  • NokiaSiemensNetworks | Location details: Abu Bakr St, Kuwait City, Kuwait | Classification: Telecommunications equipment supplier, Telecommunications equipment supplier | Visit Online: | Contact Number (Helpline):
  • WorldElectronicsEst.ForNetwork&Electronics-Kuwait | Location details: ibn khaldoun street,walaa complex,mezanine floor,hawally، kuwait، Kuwait | Classification: Computer networking center, Computer networking center | Visit Online: worldkwt.com | Contact Number (Helpline): +965 2262 6117
  • EnglishSkillsInstitute | Location details: Street 118 Building 176 2nd Floor, Sabah Al Salem, Kuwait | Classification: , | Visit Online: | Contact Number (Helpline): +965 9944 3175
  • واديفونFawnValley-ApprovedByKuwaitPetroleumCorporation(KPC)AndItsSubsidiaries. | Location details: Ibn Taymiyyah Street, Block 9, Villa 12. Fahaheel, Kuwait Fahaheel, 00965, Kuwait | Classification: Training centre, Training centre | Visit Online: fawnvalleyacademe.com | Contact Number (Helpline): +965 6963 6350
  • AlshayaStoreTrainingCentre | Location details: Pepsi Cola Street, Behind Mercedes-Benz Garage Shuwaikh shuwaikh، 13002, Kuwait | Classification: Training centre, Training centre | Visit Online: alshaya.com | Contact Number (Helpline): +965 2224 2000
  • 22YardsCricketAcademy | Location details: Fahaheel Sports Club, Kuwait | Classification: Cricket club, Cricket club | Visit Online: | Contact Number (Helpline): +965 9954 2107
  • DermaGlowBeautyCenter | Location details: 20 St, Kuwait | Classification: Skin care clinic, Skin care clinic | Visit Online: dermaglowkw.com | Contact Number (Helpline): +965 555 88939
 courses in Kuwait
Due to the Gulf War, one of the primary aquifers is still contaminated. Kuwait is at the Arabian Gulf's westernmost point. Poor waste management, emissions from power plants and vehicles, and air and water pollution are major problems in Kuwait because there are no renewable water sources. The legitimacy of the nation-state is acknowledged by the majority. The Law of the Sea Treaty and a number of international agreements pertaining to biodiversity, climate change, desertification, endangered species, environmental modification, hazardous waste, and biodiversity are signed by Kuwait. The Kuwaiti government is the sole authority authorized to use force in Kuwait. 20,000 applications are said to have been sent to the military in the first three days of the announcement. . Iran and Kuwait are at odds over their maritime border since the 1960s. In addition, they released oil into the Gulf, contaminating a significant portion of the seabed.

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