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Data Analyst Training in Hyderabad

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    What is Data Analyst

    A data analyst gathers, cleans, and studies data sets to help solve problems. A data analyst collects, cleans, and interprets data sets to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.

    The role of a data analyst is highly transferable, and employment opportunities are available in both the private and public sectors, including finance, consulting, manufacturing, pharmaceuticals, government, and education.

    Data analysts play a crucial role in turning data into useful information for businesses, enabling them to make more informed decisions in the future.

    What Does a Data Analyst Do?

    As a Data Analyst, I play a crucial role in interpreting data to help organizations make informed decisions. My work involves various tasks such as collecting, processing, analyzing, and presenting data. Here’s a detailed look at what I do:

    Data Collection and Processing: I gather data from various sources and ensure its relevance and accuracy. I also clean the data to remove errors and ensure consistency.

    Data Analysis: I perform exploratory data analysis to understand underlying patterns, outliers, and characteristics. I also apply statistical methods to interpret data and make predictions.

    Data Visualization: I create dashboards and reports using visualization tools to make it easier for stakeholders to understand complex data insights.

    Decision Support: I help organizations in strategic planning by providing data-backed insights and support various organizational functions.

    Technical and Soft Skills: I am proficient in programming languages and possess strong analytical and communication skills.

    Continuous Learning: I stay updated with new tools and techniques to remain effective in my role.

    Advantages of Data Analyst

    In today’s fast-paced and interconnected world, an enormous amount of data is generated daily. This data, often referred to as the “new oil,” holds tremendous potential for those who can effectively harness and analyze it. This is where data analytics comes into play, offering businesses and researchers powerful tools to extract valuable insights from massive datasets.

    Improved Decision Making:Data analytics enhances decision-making by providing precise and timely information, helping organizations align choices with strategic goals.

    Enhanced Productivity: Automation and optimization of processes through data analytics lead to increased productivity. Employees can focus on high-value tasks, while routine and repetitive activities are streamlined or automated.

    Competitive Edge: Embracing data analytics gives firms a competitive edge, crucial in industries where agility is paramount for success. Swift adaptation, effective risk mitigation, and spotting opportunities become achievable.

    Innovation and Product Development: Data analytics fuels innovation by providing insights into market demands, consumer preferences, and emerging trends. This information is invaluable for developing new products or enhancing existing ones to meet evolving customer needs.

    Why Choose Our Data Analyst Training?

    At SS Trainings, we understand the growing demand for skilled data analysts in Hyderabad and beyond. Our comprehensive training program is tailored to meet the needs of both beginners and experienced professionals.

    Our Data Analyst Training in Hyderabad Course:

    • Expert Instructors: Learn from industry veterans with years of real-world experience in data analytics.
    • Hands-on Learning: Gain practical skills through hands-on projects and real-life case studies.
    • Cutting-Edge Curriculum: Stay ahead with our up-to-date curriculum that covers the latest tools and technologies in data analytics.
    • Flexible Learning: Choose from various learning modes, including classroom and online training, to suit your schedule.

    Key Features of Our Data Analyst Training

    Some key features of Data Analyst training in Hyderabad

    • Foundations of Data Analysis: Master the essential skills of data handling, cleansing, and visualization with industry-leading tools, and elevate your data expertise to new heights.
    • Statistical Analysis: Master essential statistical methods that enable you to extract profound insights from data, empowering you to make informed decisions with confidence.
    • SQL and Database Management: Acquire mastery in SQL, the cornerstone skill set essential for every accomplished data analyst, enabling advanced data querying and database management.
    • Data Visualization: Unleash the power of visualization tools like Power BI to create captivating dashboards and reports that both captivate and inform with precision.
    Data Analyst training in Hyderabad

    Why Hyderabad?

    Hyderabad is rapidly emerging as a hub for data analytics, with numerous opportunities in various industries, including IT, finance, healthcare, and more. By enrolling in our Data Analyst training, you position yourself at the forefront of this growing field, ready to take advantage of the career opportunities in Hyderabad.

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    FAQ Of Data Analyst Training In Hyderabad

    What is Data Analytics (Analysts)?

    Data Analytics involves the systematic analysis of raw data to derive meaningful insights and inform decision-making. It encompasses various techniques such as statistical analysis, data mining, and visualization to uncover patterns, trends, and correlations within datasets. Businesses use data analytics to optimize processes, enhance operational efficiency, and gain competitive advantages by making informed decisions based on empirical evidence rather than intuition.

    A Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related engineering discipline from a recognized institute is required for eligibility in a Data Analytics course. This foundation ensures proficiency in quantitative methods, programming, and problem-solving, essential for advanced topics like predictive modeling and machine learning in Data Analytics.

    Through this course, participants master various data analytical tools and techniques such as statistical analysis, data visualization, and occasionally machine learning. This expertise enables them to extract valuable insights from data, facilitating informed decision-making and problem-solving across diverse industries.

    The following basic skills are required
    • Structured Query Language (SQL).
    • Statistical Techniques and Programming.
    • Machine Learning.
    • Probability and Statistical Techniques.
    • Data Management.
    • Statistical Visualization.
    • Econometrics.

    We offer flexible training options in our Data Analyst training in hyderabad, including both classroom and online modes. You can select the mode that best suits your schedule and learning preferences.

    Data Analyst Course Content?

    Data Analyst Course Content:

    1. POWER BI
    • Power BI Complete Introduction
    • PBI Desktop Installation Power BI Desktop & Power BI Service Overview
    • Power BI Desktop User Interface
    • Building Blocks of Power BI

    Power Query:

    • Introduction to Power Query & Power Query Editor User Interface
    • Data Processing, Data types and Filters in Power Query
    • Inbuilt Column Transformations
    • In built Row Transformations
    • Combine Queries (Merge Queries & Append Queries)
    • Query Options
    • Home Tab Options
    • Transform Tab Options
    • Add Column Tab Options
    • View Tab, Tools Tab & Help Tab Options

    Power Pivot:

    • Power Pivot Software Overview
    • Power BI Data Modeling – Model View (Previously Relationship View)
    • Enhancing the Data Model – DAX
    • DAX Functions – Categories
    • DAX Text Functions
    • DAX Logical Functions
    • DAX Date & Time Functions
    • DAX Filter Functions
    • DAX Math and Statistical Functions
    • DAX Time Intelligence Functions
    • Quick Measures

    Power View:

    • Report View / Power View
    • Visuals Interactions
    • Filters in Power View
    • Hierarchies and Drill-Down Reports
    • Power BI Visualizations
    • Visuals for Filtering
    • Visualizing Categorical Data
    • Visualizing Trend Data
    • Visualizing KPI Data
    • Visualizing Tabular Data
    • Visualizing Geographical Data
    • Grouping, Binning & Sorting
    • Tooltip Page
    • Bookmarks, Selection Pane & Buttons

    Power BI Service:

    • Power BI Service Introduction
    • Adding Dataset to Power BI Service and Creating Multiple New Reports
    • Dashboards Development
    • Building Blocks of Power BI
    • Data Connectivity Modes in Power BI
    • Installing & Configuring the Data Gateways
    • Understanding Sub folder in Workspace
    • Dataflows
    • Dataset Actions
    • Excel Workbooks
    • Report Actions
    • Dashboard Actions
    • Team Collaboration in Power BI using Workspaces
    • Sharing Power BI Content using Basic Sharing, Content Packs and Apps
    • Row Level Security in Power BI
    • Syncing Published Power BI Report Files Using OneDrive
    • Deployment Pipelines

    2. Python:

    • An Introduction to Python
    • Beginning Python Basics
    • Conditional statements in Python
    • Loops or iterative statements
    • Collections or Data Structures
    • Functions and Modules
    • Exception Handling
    • Regular Expressions
    • Text files in Python
    • Object Oriented Programming
    • Data Analytics using Pandas Library
    • Data Visualization with Matplotlib library
    • Numpy Library (Numerical Python)
    • Database Connectivitie

    3. SQL:

    • Introduction to Data and Database systems
    • Complete Introduction to SQL SERVER
    • SQL Server Software Installation
    • SSMS Window
    • Data Types
    • Sub-Languages in SQL Server
    • Arithmetic Operators
    • Comparison Operators
    • Logical Operators
    • Set Operators
    • Special Operators
    • Schemas
    • Functions
    • Special Clauses
    • Ranking Functions
    • Constraints
    • Joins
    • Views
    • Synonyms
    • Indexes
    • Sub Queries
    • TCL Commands
    • DCL Commands
    • CTE (Common Table Expression)
    • Duplicates
    • Normalization
    • E-R Modelling
    • Relationships
    • OLTPS
    • Introduction to T-SQL
    • T-SQL Blocks
    • Variables
    • Control Statements
    • Cursors
    • Stored Procedures
    • Stored Functions
    • Triggers

    4. Advanced Excel:

    • Introduction to Excel
    • Personalizing Excel
    • Functions
    • Arithmetic Functions
    • Text Functions
    • Proofing and Formatting
    • Protecting Excel-Excel Security
    • Printing Workbooks
    • Advance Paste Special Techniques
    • Time and Date Functions
    • New in Excel 2013/2016 & 365
    • Filtering and Sorting
    • Printing Workbooks
    • What-If Analysis
    • Data Validation
    • Logical Analysis
    • Arrays Functions
    • Lookup Functions
    • Pivot Tables
    • Slicers and Charts
    • Excel Dashboard
    • Projects

    Success Stories

    SS Trainings’s Data Analyst training in Hyderabad Course student’s success stories

    The Data Analytics course at SS Trainings exceeded my expectations. The instructors were highly knowledgeable and provided hands-on experience with real-world datasets. I now feel confident applying advanced statistical methods to drive meaningful insights in my career.

    Avinash

    SS Trainings’ Data Analyst training in hyderabad was a game-changer for me. The curriculum was comprehensive, covering everything from SQL querying to powerful visualization techniques. Thanks to this course, I was able to transition smoothly into a data analyst role and deliver impactful solutions for my team.

    Srinivas

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    Don’t miss the chance to advance your career with our Data Analyst training in Hyderabad. Join SS Trainings and become a part of a community of successful data professionals.

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