This Data Analytics training in Hyderabad and Omni Tech Master , you will gain practical experience by working on industry based projects that will help you understand how to solve real-time business problems. Also, in “Data Analyst courses in Hyderabad”, we will conduct many mock interview sessions, assist in creating and upgrading your resume, and more to give you confidence and prepare you for your job interviews.

Introduction to Data Analytics:-

This course presents a gentle introduction into the concepts of data analytics, the role of a Data Analytics training in Hyderabad, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analytics, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.

Data Analytics Training in Hyderabad:-

Data Analytics Training in Ameerpet with Certification and 100% Assured Job Placements. Explore this high-demand career.

Microsoft Excel, SQL, databases, Tableau, Power BI, Advanced Excel.

Data Analytics Training in Hyderabad With Placement Assistance

Do you want to establish a career in one of the most sought-after areas in the current job market?

Moreover, enroll in our Data Analyst Training in Hyderabad and start on the path to a high salary and future-proof career.

Whether you’re a graduate just out or an experienced working professional wanting to change careers to data-driven profiles, our Data Analyst Course in Hyderabad is just what you need.

This career-centric course teaches you the skills, tools, and confidence to perform as a top data analyst.

Online and Offline Data Analytics Training in Hyderabad:-

Data Analytics by enrolling in our Data Analytics training in Hyderabad,Ameerpet and gain an industry-ready certificate Our proven curriculum designed by top-notch experts will provide you with the skills and knowledge required to excel in the field. Immerse yourself in real-world projects and stand out in the competitive IT industry to secure your dream IT job.Become job-ready as a Data Analytics. Omni Tech Masters is the Best Data Analytics online and Offline training Available.By real time Experts With Real time Projects

Data Analytics Course in Hyderabad

Course Key features

Classroom & Online Data Analyst Training
Real-time projects
Industry-recognized certification
Soft Skills (Resume, GD, JAM, LinkedIn, Interview & Communication Skills)
100% placement assistance
Experienced faculty from MNCs
Daily Class Notes and Word Documents(Material)
Daily assignments & weekly assessments

Data Analyst Course in Hyderabad

Course Overview

Our Data Analyst Course in Hyderabad is designed to prepare you for the data challenges in the real world.
Moreover, the training addresses the multiple aspects of data like—cleaning, analysis, visualization, and interpretation.
Furthermore, you can get hands on industry-standard tools such as Excel, SQL, Python, Tableau, and Power BI.
Therefore, this course will get you a blend of theory and practical learning involving hands-on projects, case studies, and interactive assignments.
Moreover, you will be prepared, after training, to work on data projects, produce insights, and aid decision-making in organizations.
Tools Covered in the Data Analyst Course
Adv Excel – Advanced spreadsheet functionalities
SQL – Working with relational databases
Power BI – Visualization and reporting tools
Python – Programming and data analysis libraries (Pandas, NumPy, Matplotlib, etc.)
Statistics – Statistics is the backbone of data analysis, enabling data analysts to extract meaningful insights from raw data. It provides tools to summarize data (descriptive statistics), make predictions (inferential statistics), and identify trends or patterns. By understanding statistical measures such as mean, variance, and percentiles, data analysts can interpret datasets, validate hypotheses, and make data-driven decisions crucial for business strategies.
Business Analytics With Excel

Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics with Excel course, which includes Power BI training.
Tableau Training
This Tableau certification course helps you master Tableau Desktop 10, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau.
Power BI
Power BI certification training will help you learn Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions.
Programming Basics And Data Analytics With Python
Learn how to analyze data in Python using multi-dimensional arrays in NumPy, manipulate Data Frames in pandas.
Who Should Do The Data Analytics Course?
Professionals Or Fresher’s Who Are Really Serious About Making A Career In Data Analytics Can Do This Course
Individuals from any domain who possess logical thinking about mathematical and analytical skills.
People who are working on business intelligence tools, data warehousing, and reporting tools.
Statisticians, Economists, Mathematicians
Software programmers
Business analysts
Six Sigma Consultants
Digital Marketing professionals
Freshers from any stream with good analytical and logical skills.
MODES OF DELIVERY
Online Training
Instructor Led live online training
Classroom Training
Instructor Led classroom training
One to One Training
Customized and Exclusive training based on your requirement
Team/Corporate Training
Customized Corporate Training
Data Analytics Qualifications
Skills Required for Data Analysts:
Programming Languages (R/SAS): Data Analytics professionals should be proficient in one language and should have working knowledge of a few more languages. Data Analytics professionals use programming languages such as R and SAS for data gathering, data cleaning, statistical analysis, and data visualization.
Creative and Analytical Thinking: Curiosity and creativity are key attributes of a good Data Analytics professional. It’s important to have a strong grounding in statistical methods, but even more critical to think through problems with a creative and analytical lens. This will help the analyst to generate interesting research questions that will enhance a company’s understanding of the matter at hand.
Strong and Effective Communication: Data Analytics professionals must clearly convey their findings — whether it’s to an audience of readers or a small team of executives making business decisions. Strong communication is the key to success.
Data Visualization:Effective data visualization takes trial and error. A successful Data Analytics expert understands what types of graphs to use, how to scale visualizations, and know which charts to use depending on their audience.
Data Warehousing: one of the Data Analytics professionals work on the back-end. They connect databases from multiple sources to create a data warehouse and use querying languages to find and manage data.
SQL Databases: SQL databases are relational databases with structured data. Data is stored in tables and a Data Analyst pulls information from different tables to perform analysis.
Database Querying Languages: The most common querying language which Data Analyst use is SQL and many variations of this language exist, including Postre SQL, T-SQL, PL/SQL (Procedural Language/SQL).
Data Mining, Cleaning and Munging:When data isn’t neatly stored in a database, Data Analyst must use other tools to gather unstructured data. Once they have enough data, they clean and process through programming.
Advanced Microsoft Excel: Data Analytics professionals should be proficient with excel and understand advanced modeling and analytics techniques.
Machine Learning: Data Analysts with machine learning skills are incredibly valuable, although machine learning is not expected skill of typical Data Analytics jobs.
Techno-functional skill sets that you
Prerequisite
To enroll in the Data Analytics Course:
Educational Background:
A basic understanding of mathematics and statistics is recommended.
No specific degree is required, but a background in fields such as Computer Science, Mathematics, Economics, or Business can be advantageous.
Technical Skills:
Familiarity with using computers and basic software applications.
Basic knowledge of Microsoft Excel for data manipulation and analysis is beneficial.
Analytical Skills:
Strong analytical and problem-solving skills are essential to interpret data and derive insights.
Eagerness to Learn:
A passion for working with data and the motivation to acquire new skills in data analytics.
Communication Skills:
Good verbal and written communication skills to effectively present and communicate insights derived from data.
Top 10 Data Analytics Applications:
Data analytics has transformed the way industries operate, allowing for more informed decision making, optimizing operations, and delivering superior customer experiences. Across various sectors, the applications of data analytics stand out as a key driver for innovation and growth. Here’s a closer look:
1. Energy
2. Finance & Banking
3. Government & Public Sector
4. Health Care
5. Manufacturing
6. Marketing & Advertising
7. Real Estate
8. Retail & E-Commerce
9. Insurance
10. Transport & Logistics
* Energy: The energy sector’s applications of data analytics focus on consumption analysis and grid optimization. In an era of rising energy demands, efficient distribution and consumption become paramount.
Through these analytics applications, energy distribution can be optimized, and consumption patterns predicted.
* Finance & Banking: In finance and banking, the applications of data analytics are primarily directed towards fraud detection and risk management. Every transaction provides data that, when analyzed, can reveal anomalies.
This usage of data analytics reduces fraudulent activities and helps manage risks linked to loans and investments.
* Government & Public Sector : Governments utilize the applications of data analytics in policy formation and resource distribution. The vast administrative data provides insights into public needs and requirements.
These analytics applications allow for policies that are more aligned with public needs, ensuring resources are allocated wisely and public services improve.
*Health Care: In the health care domain, data analytics applications play a pivotal role in diagnosis and treatment optimization. Massive volumes of patient data are now analyzed to detect patterns and correlations.
These analytics applications guide health care professionals in making decisions that lead to enhanced patient outcomes and substantial reductions in medical expenses.
*Manufacturing : Manufacturing industries utilize data analytics applications for quality control and process efficiency. With complex machinery and operations, every stage provides vital data.
Predictive analytics helps in pre-empting manufacturing defects and refining production workflows, leading to reduced waste and superior products.
* Marketing & Advertising: Marketing professionals harness analytics applications for precise customer segmentation and to gauge the effectiveness of their campaigns.
With the insights from these data analytics applications, businesses can target audiences more effectively and assess their campaign ROI.
* Real Estate : The real estate sector’s applications of data analytics involve property valuation and tracking market trends. The fluctuating property market generates vast amounts of data.
Real estate professionals, armed with these insights, can more accurately price properties and anticipate market movements.
*Retail & E-Commerce : The retail and e-commerce sector taps into analytics applications to gain customer insights and manage inventory. The digital footprints of online shopping are treasure troves of data.
With data analytics applications, retailers can discern customer preferences, hone pricing strategies, and oversee optimal stock levels, translating to boosted sales and cost savings.
*Insurance : In the insurance sector, data analytics applications are crucial for risk assessment and claim processing. With countless policyholders and claims, insurers rely on analytics to make accurate predictions and decisions.
Benefit: These analytics applications allow insurers to set premiums more accurately based on risk, as well as expedite claim processes, which enhances customer satisfaction and operational efficiency.
* Transport & Logistics : In transport and logistics, the applications of data analytics involve route optimization and demand prediction. The constant movement of goods provides a continuous stream of data to be processed.
With this, optimal transport routes can be deduced, and shipment demands anticipated, translating to savings and improved services.
Data analytics applications are reshaping industries, bringing forth unprecedented growth, efficiency, and customer satisfaction. As technology advances, it’s evident that their role will only become more pronounced.
One Course Is For Both Freshers & Experienced People.
What Is Data Analytics ?
Data analysis is the process of examining and understanding data to find useful information. It involves looking for patterns, trends, and relationships in the data to make informed decisions and solve problems. By using various techniques and tools, data analysis helps businesses and individuals gain insights and make better choices based on evidence.
Whom This Course For:
*Any Graduate Can Learn
*Professionals From BPO
*Management Professionals
*Want To Switch Job With High Package
*Finance & Accounting Professionals
*Anybody Who Has Professional Degree
Join Our Zero Cost Free Demo Session, Our Trainer Will Give You Live Demo About This Data Analysis To Better Understanding To You.

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Data Analytics Course in Hyderabad
Enroll in our Data Analytics Course in Hyderabad offered by Omni Tech Masters, ranked No 1 Data Analytics Training Institute in Hyderabad, and hone your skills in data analysis and business tools.
Hands-on experience with real-world cloud environments to build job-ready skills.
24/7 access to cloud labs, enabling learning anytime, anywhere.
Zero downtime.
Practice across multiple cloud platforms, including AWS, Azure, and Google Cloud.
Instant scalability and resources to match real-world cloud infrastructure.
Expert-guided labs with industry-relevant scenarios for comprehensive learning.
Data Analytics Training is not only meant for professionals and experienced people.
It is even useful for students. Fresh graduates and post-graduates from any
educational background can learn Data Analytics .Omni Tech Masters provides the
Best DevOps training in Ameerpet to people having B.Tech, MBA, B.E, MCA, B.Sc, M.Sc, and other degrees.