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 Sabah Al Salem

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

  • 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 Sabah Al Salem
Data Analytics Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. Here is a step-by-step guide to help you get started with data analytics training: Remember that practice is essential in data analytics. 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. 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. Here are some common components of a data analytics course:.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Sabah Al Salem

  • OxygenGymSabahAlsalem | Location details: Street 121, Sabah Al Salem, Kuwait | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline):
  • AlArbeedComplex-مجمعالعربيد | Location details: St 102 Block 1, Building 408 & 409, Sabah Al Salem, Kuwait | Classification: Apartment complex, Apartment complex | Visit Online: business.site | Contact Number (Helpline): +965 2552 1113
  • JGSKTrainingCenter | Location details: 2432+WW4, Ali Sabah Al Salem, Kuwait | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline):
  • JGSKTrainingCenter | Location details: 2432+WW4, Ali Sabah Al Salem, Kuwait | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline):
  • ArtFactoryKuwait | Location details: Sabah Al Salem, Kuwait | Classification: Art school, Art school | Visit Online: instagram.com | Contact Number (Helpline): +965 9601 7573
  • TaibahTrainingAndConsultancyGroup | Location details: 732P+CWM, Sabah Al Salem, Kuwait | Classification: Training centre, Training centre | Visit Online: ttcg.co | Contact Number (Helpline): +965 2551 2762
  • MessilaCricketGround | Location details: 63XV+8GJ, Sabah Al Salem, Kuwait | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline):
  • معهدوايز | Location details: 23 St, Sabah Al Salem, Kuwait | Classification: Education center, Education center | Visit Online: | Contact Number (Helpline): +965 505 22580
  • CROSSFIGHTGYMMenناديكروسفايترجال | Location details: شارع ١١٣،, Sabah Al Salem, Kuwait | Classification: Gym, Gym | Visit Online: instagram.com | Contact Number (Helpline): +965 551 71717
  • McDonald's | Location details: Unnamed Road, Sabah Al Salem, Kuwait | Classification: Restaurant, Restaurant | Visit Online: | Contact Number (Helpline):
  • AlsmouCenterForConsultanciesAndTraining | Location details: Salem Sabah Al Salem Al Sabah St, Kuwait | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline): +965 6688 7712
  • HazelSalon | Location details: Block 1 street 104 Building 284 Sabah Al Salem، 44001, Kuwait | Classification: Beauty salon, Beauty salon | Visit Online: | Contact Number (Helpline): +965 2209 9229
  • SabahAl-SalemCooperativeSocietyBranch10 | Location details: Block 10، Sabah Al Salem, Kuwait | Classification: Grocery store, Grocery store | Visit Online: | Contact Number (Helpline): +965 2551 2058
  • EliteClass | Location details: block 2 street 216 the tower, 2nd floor, Sabah Al Salem, Kuwait | Classification: Educational institution, Educational institution | Visit Online: elite-class.com | Contact Number (Helpline): +965 5222 6614
  • AmericanUnitedSchoolSabahAlSalem | Location details: Block 1, Street 101 Sabah Al Salem، 13413, Kuwait | Classification: School, School | Visit Online: aus.edu.kw | Contact Number (Helpline): +965 2553 0100
  • GSIAndCadMasters | Location details: 207, Sabah Al Salem, Kuwait | Classification: , | Visit Online: cadmasters.org | Contact Number (Helpline): +965 505 61697
 courses in Sabah Al Salem
The use of force in Kuwait is exclusively the responsibility of the government of Kuwait. These projects included the construction and upkeep of roads and bridges. However, during the peak of activism from 2011 to 2014, political protests and street demonstrations, which were once common, have become uncommon. Although Kuwait's basic infrastructure is fairly advanced, power outages are frequent during the hot summer months. The state bureaucracy works, but it's too big. This included Musallam al-Barrak's seven-year prison term as the most prominent opposition figure. The Al Sabah family's authority has been based on mutual interest and exchange with local merchants and tribesmen since its inception. However, the court reinstated Abdullah al-Barghash's citizenship in May 2017 and al-Shemmari's citizenship in October 2016. Bidoon are frequently portrayed in public discourse as possessing other citizenships and seeking Kuwaiti citizenship solely for its material benefits. " These stateless Arab residents frequently work in the informal economy and live in relative poverty.

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