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Learn how to extract data for analysis. Join now and learn under an expert data analyst.
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- Data Analytics is a bona-fide procedure examining data sets to identify trends and draw conclusions about the information they contain. Well, data analytics has been executed with the aid of specialized systems and software. In fact, nowadays, Data Analytics is hugely utilized in different sizes of set-ups as it helps harness their data and use it in the utmost best manner to identify new opportunities.
- Candidates belonging to various educational backgrounds also seem to be interested in the Data Analytics Online Course in Qatar because of its bright scope, and high demand in the IT domain. If you genuinely want to explore this subject deeply and don't know where to start, then you must get in touch with Croma Campus to acquire qualitative training on Data Analytics Online Certification in Qatar from experienced trainers.
Data Analytics Online Training in Qatar
- By enrolling in Data Analytics Online Training in Qatar, you will get the chance to acquire some valuable information from numerous examples, study material, etc.
Right at the beginning of the Data Analytics Online Course in Qatar, you will receive sessions concerning its fundamentals & basics.
You will receive sessions concerning Statistical Analysis.
Our trainers will also help you know about Data Analytics.
You will also receive full-fledged training in Excel- Basic to Advance (In this specific section, there are numerous sub-sections, and trainers will help you to understand each one with proper instances).
You will also receive training in Tableau, SQL, Power BI, & Python basics respectively.
- Where salary structure is concerned, then a knowledgeable Data Analyst earns quite a decent amount. Post having a valid Data Analytics Online Certification in Qatar in hand, you will succeed in grabbing a decent salary package also.
- Scroll down to know the exact earnings of a fresher & experienced Data Analyst.
A fresher Data Analyst earns around Rs. 3,56,363 yearly, which is quite an interesting amount.
On the other hand, an experienced Data Analyst earns around Rs. 11.5 Lakhs yearly.
By turning into a freelancer, you will also make an additional amount.
By acquiring the latest skills, and trends, you will eventually get uplifted.
- Data Analytics pretty much has a bright scope. By entering this direction, you will first have to start with the Analyst 1 position and then progresses to Analyst 2, Senior Analyst, and then Data Scientist or Data Analyst. So, if you are genuinely adamant enough to construct your career in this direction, you must immediately get yourself enrolled in the Data Analytics Online Training in Qatar, and know its features in detail.
By obtaining a legit Data Analytics Online Course in Qatar, you will turn into a skilled Data Analyst or Data Scientist.
You will receive quite an impressive salary package.
Your core knowledge will get strengthened.
You will always have various job roles in hand.
- Due to the increase in the utilization and categorization of data, there is eventually a huge demand for skilled Data Analysts. In the coming years as well, this field will not fade away. So, constructing your career in this direction, and enrolling in Data Analytics Online Certification in Qatar will eventually be a good decision for you.
- Have a glance at some of the valid reasons to get started with this course.
Good job opportunities are on the rise.
Increasing salary structure of skilled Data Analyst.
Work possibilities in a wide range of industries.
Uplift the decision-making process.
Huge scope for freelancing.
- A Data Analyst has to perform several tasks on daily basis. So, if you also aspire to turn into a Data Analyst, you must know the below-mentioned duties. By enrolling in the Data Analytics Online Training in Qatar, you will analyze every role closely.
You will have to interpret data and examine results utilizing statistical techniques, and provide ongoing reports progressively.
You will also have to build and imply databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
In fact, you will have to obtain data from primary or secondary data sources and maintain databases/data systems.
You will also have to find, examine, and interpret trends or patterns in complex data sets.
You will also have to work hand in hand with management to customize business and information needs.
- In the present scenario, Currently, numerous companies are looking for Data Analyst, yet the production of skilled developers is low, and their want is relatively high. So, if you want to turn into a skilled Data Analyst, you must get started with its professional Data Analytics Online Course in Qatar respectively.
Our qualified trainers will also assist you in clearing the interview by often organizing a mock test.
The main objective of the Data Analytics Online Certification in Qatar is to assist you to get placed in a well-established organization.
Various top companies hire people according to their skills and knowledge, experience, etc.
- For the past few years, Croma Campus has been referred to as the best Data Analytics Online Training in Qatar. This is so, because, we target delivering qualitative training along with various instances. So, if you are also looking to obtain detailed information concerning the Data Analytics Online Course in Qatar, getting associated with Croma Campus will be a smarter move toward your career.
- So, if you genuinely want to construct a career out of this course, obtaining detailed information from an educational provider offering Data Analytics Online Training in Qatar will be an ideal decision.
Here, along with a legit certification in hand, you will also get enough chances to brush up your existing skills, and imbibe new ones concerning Data Analytics Online Certification in Qatar respectively.
Here, you will accumulate information concerning its related course as well.
Croma Campus will offer you placement assistance.
Well, right from the initial level, our trainers will give you suggestive tips to clear the interview process.
Why you should get started with the Data Analytics course?
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CURRICULUM & PROJECTS
Data Analytics Training Program
- What is Data Analytic
- Common Terms in Data Analytics
- What is data
- Classication of data
- Relevance in industry and need of the hour
- Types of problems and business objectives in various industries
- How leading companies are harnessing the power of analytics
- Critical success drivers.
- Overview of Data Analytics tools & their popularity.
- Data Analytics Methodology & problem-solving framework.
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- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
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- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- Descriptive Statistics
- Sample vs Population Statistics
- Random variables
- Probability distribution functions
- Expected value
- Normal distribution
- Gaussian distribution
- Z-score
- Spread and Dispersion
- Correlation and Co-variance
- Data Preparation
- Feature Engineering
- Feature Scaling
- Datasets
- Dimensionality Reduction
- Anomaly Detection
- Parameter Estimation
- Data and Knowledge
- Selected Applications in Data Mining
- Need for structured exploratory data
- EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
- Identify missing data
- Identify outliers data
- Imbalanced Data Techniques
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- Statistics
- Pandas
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- SQL Server 2019 Installation
- Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
- SQL Server Features & Purpose
- Using Management Studio (SSMS)
- Conguration Tools & SQLCMD
- Conventions & Collation
- SQL Database Architecture
- Database Creation using GUI
- Database Creation using T-SQL scripts
- DB Design using Files and File Groups
- File locations and Size parameters
- Database Structure modications
- SQL Server Database Tables
- Table creation using T-SQL Scripts
- Naming Conventions for Columns
- Single Row and Multi-Row Inserts
- Table Aliases
- Column Aliases & Usage
- Table creation using Schemas
- Basic INSERT
- UPDATE
- DELETE
- SELECT queries and Schemas
- Use of WHERE, IN and BETWEEN
- Variants of SELECT statement
- ORDER BY
- GROUPING
- HAVING
- ROWCOUNT and CUBE Functions
- Table creation using Constraints
- NULL and IDENTITY properties
- UNIQUE KEY Constraint and NOT NULL
- PRIMARY KEY Constraint & Usage
- CHECK and DEFAULT Constraints
- Naming Composite Primary Keys
- Disabling Constraints & Other Options
- Benets of Views in SQL Database
- Views on Tables and Views
- SCHEMA BINDING and ENCRYPTION
- Issues with Views and ALTER TABLE
- Common System Views and Metadata
- Common Dynamic Management views
- Working with JOINS inside views
- Need for Indexes & Usage
- Indexing Table & View Columns
- Index SCAN and SEEK
- INCLUDED Indexes & Usage
- Materializing Views (storage level)
- Composite Indexed Columns & Keys
- Indexes and Table Constraints
- Primary Keys & Non-Clustered Indexes
- Why to use Stored Procedures
- Types of Stored Procedures
- Use of Variables and parameters
- SCHEMABINDING and ENCRYPTION
- INPUT and OUTPUT parameters
- System level Stored Procedures
- Dynamic SQL and parameterization
- Scalar Valued Functions
- Types of Table Valued Functions
- SCHEMABINDING and ENCRYPTION
- System Functions and usage
- Date Functions
- Time Functions
- String and Operational Functions
- ROW_COUNT
- GROUPING Functions
- Why to use Triggers
- DML Triggers and Performance impact
- INSERTED and DELETED memory tables
- Data Audit operations & Sampling
- Database Triggers and Server Triggers
- Bulk Operations with Triggers
- Cursor declaration and Life cycle
- STATIC
- DYNAMIC
- SCROLL Cursors
- FORWARD_ONLY and LOCAL Cursors
- KEYSET Cursors with Complex SPs
- ACID Properties and Scope
- EXPLICIT Transaction types
- IMPLICIT Transactions and options
- AUTOCOMMIT Transaction and usage
- AI Tools:
- Copilot in Azure Data Studio or GitHub for SQL suggestions
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- Creation of Excel Sheet Data
- Range Name, Format Painter
- Conditional Formatting, Wrap Text, Merge & Centre
- Sort, Filter, Advance Filter
- Different type of Chart Creations
- Auditing, (Trace Precedents, Trace Dependents)Print Area
- Data Validations, Consolidate, Subtotal
- What if Analysis (Data Table, Goal Seek, Scenario)
- Solver, Freeze Panes
- Various Simple Functions in Excel(Sum, Average, Max, Min)
- Real Life Assignment work
- Advance Data Sorting
- Multi-level sorting
- Restoring data to original order after performing sorting
- Sort by icons
- Sort by colours
- Lookup Functions
- Subtotal, Multi-Level Subtotal
- Grouping Features
- Consolidation With Several Worksheets
- Filter
- Printing of Raw & Column Heading on Each Page
- Workbook Protection and Worksheet Protection
- Specified Range Protection in Worksheet
- Excel Data Analysis
- Data Table
- Pivot Table
- Generating MIS Report In Excel
- Text Functions
- Lookup & Reference Function
- Logical Functions & Date and Time Functions
- Database Functions
- Statistical Functions
- Financial Functions
- Functions for Calculation Depreciation
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- Overview of BI concepts
- Why we need BI
- Introduction to SSBI
- SSBI Tools
- Why Power BI
- What is Power BI
- Building Blocks of Power BI
- Getting started with Power BI Desktop
- Get Power BI Tools
- Introduction to Tools and Terminology
- Dashboard in Minutes
- Interacting with your Dashboards
- Sharing Dashboards and Reports
- Power BI Desktop
- Extracting data from various sources
- Workspaces in Power BI
- Data Transformation
- Query Editor
- Connecting Power BI Desktop to our Data Sources
- Editing Rows
- Understanding Append Queries
- Editing Columns
- Replacing Values
- Formatting Data
- Pivoting and Unpivoting Columns
- Splitting Columns
- Creating a New Group for our Queries
- Introducing the Star Schema
- Duplicating and Referencing Queries
- Creating the Dimension Tables
- Entering Data Manually
- Merging Queries
- Finishing the Dimension Table
- Introducing the another DimensionTable
- Creating an Index Column
- Duplicating Columns and Extracting Information
- Creating Conditional Columns
- Creating the FACT Table
- Performing Basic Mathematical Operations
- Improving Performance and Loading Data into the Data Model
- Introduction to Modelling
- Modelling Data
- Manage Data Relationship
- Optimize Data Models
- Cardinality and Cross Filtering
- Default Summarization & Sort by
- Creating Calculated Columns
- Creating Measures & Quick Measures
- What is DAX
- Data Types in DAX
- Calculation Types
- Syntax, Functions, Context Options
- DAX Functions
- Measures in DAX
- Measures and Calculated Columns
- ROW Context and Filter Context in DAX
- Operators in DAX - Real-time Usage
- Quick Measures in DAX - Auto validations
- In-Memory Processing DAX Performance
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- Data Visualization
- Business Intelligence tools
- Introduction to Tableau
- Tableau Architecture
- Tableau Server Architecture
- VizQL Fundamentals
- Introduction to Tableau Prep
- Tableau Prep Builder User Interface
- Data Preparation techniques using Tableau Prep Builder tool
- Features of Tableau Desktop
- Connect to data from File and Database
- Types of Connections
- Joins and Unions
- Data Blending
- Tableau Desktop User Interface
- Visual Analytics
- Basic Charts Bar Chart, Line Chart, and Pie Chart
- Hierarchies
- Data Granularity
- Highlighting
- Sorting
- Filtering
- Grouping
- Sets
- Types of Calculations
- Built-in Functions (Number, String, Date, Logical and Aggregate)
- Operators and Syntax Conventions
- Table Calculations
- Level of Detail (LOD) Calculations
- Using R within Tableau for Calculations
- Parameters
- Tool tips
- Trend lines
- Reference lines
- Forecasting
- Clustering
- Count Customer by Order
- Profit per Business Day
- Comparative Sales
- Profit Vs Target
- Finding the second order date
- Cohort Analysis
- Introduction to Geographic Visualizations
- Manually assigning Geographical Locations
- Types of Maps
- Spatial Files
- Custom Geocoding
- Polygon Maps
- Web Map Services
- Background Images
- Box and Whiskers Plot
- Bullet Chart
- Bar in Bar Chart
- Gantt Chart
- Waterfall Chart
- Pareto Chart
- Control Chart
- Funnel Chart
- Bump Chart
- Step and Jump Lines
- Word Cloud
- Donut Chart
- Introduction to Dashboards
- The Dashboard Interface
- Dashboard Objects
- Building a Dashboard
- Dashboard Layouts and Formatting
- Interactive Dashboards with actions
- Designing Dashboards for devices
- Story Points
- Tableau Tips and Tricks
- Choosing the right type of Chart
- Format Style
- Data Visualization best practices
- Publishing Workbooks to Tableau Online
- Interacting with Content on Tableau Online
- Data Management through Tableau Catalog
- AI-Powered features in Tableau Online (Ask Data and Explain Data)
- Understand Scheduling
- Managing Permissions on Tableau Online
- Data Security with Filters in Tableau Online
- Ask Data: Natural Language Data Exploration
- Explain Data: Automatic statistical insights
- Tableau GPT (Einstein Copilot - Salesforce)
- AI forecasting in visualizations
- Integration with Python (TabPy) and R
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