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 Aali

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

  • 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 Aali
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. 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. Work on real-world projects, participate in online competitions (such as Kaggle), and continue learning to enhance your skills. 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:.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Aali

  • AulSubPostOffice,Aul | Location details: Aali, Kendrapara, SH-9A, Bhadrak Chandbali Road, Rajkanika, Rajkanika, Odisha 754219, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • COMRADESOFTWAREMARKETINGLLC | Location details: Al Mamzar - #101 - Al Shaali Marine - Al Ittihad Rd - Dubai - United Arab Emirates | Classification: Software company, Software company | Visit Online: comradeuae.com | Contact Number (Helpline): +971 4 266 8182
  • MawazinBusinessSolutions-TallySoftware | Location details: Flat 12, Building 378, Road 71, Block 738, Aali Avenue Bahrain، Bahrain | Classification: Accounting software company, Accounting software company | Visit Online: tallybh.com | Contact Number (Helpline): +973 1764 1565
  • RatnagiriBusStand | Location details: Teli Aali, Rajiwada, Ratnagiri, Maharashtra 415612, India | Classification: Transportation service, Transportation service | Visit Online: msrtc.maharashtra.gov.in | Contact Number (Helpline):
  • UMASANKARSABUJADUNIALIMITEDBARGARH(BRANCHOFFICE) | Location details: Ambaa Paali, Bargarh, Odisha 768018, India | Classification: District office, District office | Visit Online: | Contact Number (Helpline):
  • AhmedMansoorAl-Aali-Manama | Location details: 146 Shaikh Salman Highway 356 Sh Salman Hwy, Salihiya 356, Manama, Bahrain | Classification: Corporate office, Corporate office | Visit Online: al-aali.com | Contact Number (Helpline): +973 1726 5555
  • JalalAlAAli&SonsCo. | Location details: 4HFP+Q7W, Riffa, Bahrain | Classification: Construction Company, Construction Company | Visit Online: | Contact Number (Helpline): +973 1764 6666
  • NetCoreInformationTechnologySolutions&Services | Location details: Shop C Building 427 Road 71 Aali, Bahrain | Classification: Computer networking center, Computer networking center | Visit Online: | Contact Number (Helpline): +973 1789 9188
  • CifsUnitJnptSevaPostJnptTownshipUranNavuMumbai | Location details: Kathe Aali, Nagaon, Uran, Navi Mumbai, Maharashtra 400702, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline): +91 22 2747 2275
  • MawazinBusinessSolutions-TallySoftware | Location details: Flat 12, Building 378, Road 71, Block 738, Aali Avenue Bahrain، Bahrain | Classification: Accounting software company, Accounting software company | Visit Online: tallybh.com | Contact Number (Helpline): +973 1764 1565
  • PostOffice | Location details: Sane Aali, Shala Chauk, Maval taluk, Talegaon Dabhade, Pune, Maharashtra 410506, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 2114 222 439
  • DSDM.in-DigitalMarketingCourseInDelhi | Location details: WZ90A, Dilip Singh building, First Floor, Matke Vaali Gali, Jawala Heri Market, Near West Paschim Vihar Metro Station, Paschim Vihar, New Delhi, Delhi 110063, I | Classification: Training centre , Training centre | Visit Online: dsdm.in | Contact Number (Helpline): +91 98739 22350
  • AulSubPostOffice,Aul | Location details: Aali, Kendrapara, SH-9A, Bhadrak Chandbali Road, Rajkanika, Rajkanika, Odisha 754219, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • DistrictConsumerForum | Location details: Teli Aali, Rajiwada, Ratnagiri, Maharashtra 415612, India | Classification: Courthouse, Courthouse | Visit Online: | Contact Number (Helpline):
  • पोस्टऑफिस | Location details: Teli Aali, Rajiwada, Ratnagiri, Maharashtra 415612, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • MSEBOffice(Electricity) | Location details: Madhali Aali,, Murud, Maharashtra 402401, India | Classification: Electricity board, Electricity board | Visit Online: | Contact Number (Helpline):
 courses in Aali
In general, there's a totally sturdy affiliation between the arrival of nation-constructing and the advent of a political authority primarily based totally on kingship. Located underneath palaces, royal tombs have been managed and the cult of the useless royal own circle of relatives become exceptional and private. The motive of this observe is to study the Royal Cemetery and Kingship as establishments in Early Dilmun society, c. A huge a part of this ee-e book is then committed to the presentation of the records from the recent investigations at A`ali with the aid of using the Bahrain-Moesgaard team (Chapter 4). The absence of written sources from Dilmun method that the group of kingship has to be not directly addressed for the reason that precept proof is archaeological, withinside the shape of public structure and royal tombs. The gaps in our information aren't most effective associated with the chronology of the burial mounds however additionally to the social span of the hierarchy this is represented on the webweb page. A brief bankruptcy offers the systematic sampling of historic carbon from the chambers and the ensuing radiocarbon dates (Chapter 5). Targeted investigations into the sizable corpus of archaeological records generated from the burial mounds of Bahrain monitor new factors of the ideology in the back of the Dilmunite burial rituals starting up this issue to a extra knowledgeable and precise evaluation. Furthermore, absolutely the relationship of the royal mounds is provided and primarily based totally on a dependable sequence of archaeological records and radiocarbon dates. Ideally, an group-degree technique ought to be followed with out forcing the to be had records right into a unmarried theoretically predefined template.

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