Data Analytics Course in Hyderabad
with
100% Placement Assistance
- Capstone Projects
- Industry Ready Curriculum
- Start From Foundation Level Training
| Trainer Name | Mr. Amit (Certified Trainer) |
| Trainer Experience | 10+ Years |
| Next Batch Date | 4th February 2025 (8:00 PM IST) |
| Training Modes | Online Training (Instructor Led) |
| Course Duration | 3 Months |
| Call us at | +91 9948801222 |
| Email Us at | dataanalyticsmasters.in@gmail.com |
| Demo Class Details | ENROLL FOR FREE DEMO CLASSES |
Data Analytics Training in Hyderabad
Course Curriculum
Module 1: Introduction to Data Science
- Definition and scope of data science
- Data science lifecycle
- Types of data (structured, unstructured, semi-structured)
- Data science tools and technologies
Module 2: Basics of Python
- Python programming
- Introduction to python
- Python basics
- Data structures in python
- Conditional statements
- Loopings
- Functions and lambda
- File handling
- Exception handling
- Object-oriented programming language(oops)Basics
- Introduction to python libraries
Module 3: Statistics and Probability
- Descriptive statistics (mean, median, mode)
- Inferential statistics (hypothesis testing, confidence intervals)
- Probability distributions (Bernoulli, Binomial, Normal)
- Bayes’ theorem
Module 4: Data Cleaning and Preprocessing
- Handling missing data
- Data normalisation and scaling
- Data transformation (log, sqrt)
- Data quality and validation
Module 5: Data Wrangling
- Data structures (pandas, NumPy)
- Data manipulation (merge, join, groupby)
- Data aggregation (sum, mean, count)
Module 6: Data Visualization
- Introduction to data visualisation
- Visualisation tools (Matplotlib, Seaborn, Plotly)
Module 7: Descriptive Analytics
- Summary statistics (mean, median, mode)
- Visualisations (histograms, box plots)
- Correlation analysis
Module 8: Inferential Analytics
- Hypothesis testing (t-test, ANOVA)
- Confidence intervals
- Regression analysis
Module 9: SQL Fundamentals
- Introduction to SQL
- SQL Syntax and Data Types
- SQL Commands (SELECT, INSERT, UPDATE, DELETE)
- Querying Data (WHERE, AND, OR, NOT)
- Sorting and Limiting Data (ORDER BY, LIMIT)
- Data Modeling
- Entity-Relationship Modeling (ERM)
- Database Design Principles
- Normalisation (1NF, 2NF, 3NF)De-normalisation
- SQL Queries
- Simple Queries (SELECT, FROM, WHERE
- Aggregate Functions (SUM, AVG, MAX, MIN, COUNT)
- Grouping and Filtering (GROUP BY, HAVING)
- Joining Tables (INNER JOIN, LEFT JOIN, RIGHT JOIN)
- Subqueries (Nested Queries)
- Window Functions (ROW_NUMBER, RANK, etc.)
- Views and Stored Procedures
- Triggers and Functions
Module 10: Power Bi
- Introduction to power bi
- Getting started with power bi
- Power bi desktop
- Data transformation with power query
- Data modelling in power bi
- Dax functions(Data analysis Expressions)
- Data visualisation Techniques
- Creating interactive dashboards
Module 11: Supervised Learning in Machine Learning
- Linear regression
- Logistic regression
- Support vector machines (SVM)
Module 12: Unsupervised Learning In ML
- Clustering (k-means, hierarchical)
- Dimensionality reduction (PCA, t-SNE)
- Association rule mining
Module 13: Model Evaluation and Selection
- Evaluation metrics (accuracy, precision, recall)
- Cross-validation
- Hyperparameter tuning
Module 14: Neural Networks and Deep Learning
- Introduction to neural networks
- Deep learning architectures (CNN, RNN)
- TensorFlow and Keras
Module 15: Natural Language Processing (NLP)
- Introduction to NLP
- Text preprocessing
- Sentiment analysis
Module 16: Computer Vision
- Introduction to computer vision
- Image processing
- Object detection
Data Analytics training in Hyderabad
Why Choose Data Analytics Course
In-Demand Skill: Data analytics is one of the most sought-after skills in various industries, offering abundant job opportunities across sectors like healthcare, finance, retail, and technology.
Improves Decision-Making: With data analytics, you can transform raw data into valuable insights, enabling informed decision-making that drives business success and strategy.
Boosts Career Growth: Learning data analytics opens up career advancement opportunities, as many organizations prefer professionals who can use data to solve complex problems and increase efficiency.
Enhances Problem-Solving Abilities: Mastering data analytics hones your ability to approach and solve problems using data-driven methods, which can be applied to both professional and personal challenges.
Increases Productivity: By automating repetitive tasks and using data to optimize processes, data analytics helps organizations streamline operations and improve overall productivity.
Versatile Application: Data analytics skills can be applied to various fields like marketing, sports, healthcare, and education, making it a versatile and transferable skill.
Competitive Advantage: Professionals with data analytics skills can offer a competitive edge to employers by providing insights that improve business performance and customer satisfaction.
Foundation for Future Technologies: As technologies like artificial intelligence and machine learning grow, data analytics serves as the foundational skill to understand and implement these advanced tools effectively.
Data Analytics Course in Hyderabad
Why to choose Us
Expert Faculty
In Data Analytics Masters, our instructors are highly qualified and have years of experience. Their experience and knowledge make every lesson interesting and simple to understand. They will also share their real-time projects to make you understand the concepts easily.
Complete Syllabus
Our course offers a complete syllabus of data analytics, from basic to advanced level. Trainers share their real-world projects with students. This helps students to clear the concepts and learn without any doubts, with the help of this they can gain the skills and knowledge required to achieve their dream jobs in Data analytics.
Hands-On Learning
Our course offers both theoretical and practical training. This course also includes projects where students work with real-world data, and use multiple tools and software. Students use their theoretical knowledge to solve analytical problems. This learning path helps them to learn all concepts of Data analytics.
Industry-Relevant Projects
This course will help students understand industry-relevant projects and master all the topics related to Data analytics. Explained by the best trainers, our students can gain both practical and theoretical knowledge with full confidence.
State-of-the-Art Facilities
Our institute uses advanced technology and up-to-date software for teaching data analytics. Students get to work with modern tools, which helps them learn better and stay updated in the fast-changing field of data analytics.
Personalized Support
Data Analytics Masters provides students with personal attention and one-on-one support to meet their learning needs and career goals. Our trainers create a helpful and friendly environment so every student gets the guidance they need to succeed.
Career Assistance
Data Analytics Masters offers helpful services like career advice, creating professional resumes, preparing for interviews, practicing with expert mock interviews, and helping students find jobs. The services provided are designed to help students build their confidence and prepare them to successfully begin their professional careers in the industry.
Networking Opportunities
Students at Data Analytics Masters get the chance to connect with professionals, experts, and alumni. These connections help them gain knowledge, improve their skills, and discover better job opportunities for a successful future.
Flexible Learning Options
At Data Analytics Masters, we offer flexible learning options like online, in-person, and hybrid formats to fit different learning types and schedules. This makes it easier for every student to choose the way that works best for them.
Strong Reputation
Data Analytics Masters Institute has a history of success, with amazing reviews from previous students and awards from industry experts. This shows that the institute is trustworthy and effective in providing high-quality Data Analytics training in Hyderabad.
Data Analytics Course in Hyderabad
What is Data Analytics?
- Data analytics involves examining large sets of data to uncover patterns and trends.
- Data analytics is done with the help of tools and software.
- It helps organizations make data-driven decisions and improve business strategies.
- The process includes data collection, cleaning, and transforming raw data into useful insights.
- Techniques like statistical analysis, machine learning, and data mining are commonly used.
- Data analytics is used to predict future trends, behaviors, and outcomes.
- Data analytics helps in risk management by identifying potential issues before they arise.
- It supports decision-making by providing actionable, data-backed information.
- If you are looking to learn Data Analytics training in Hyderabad then our Data Analytics course is the best option.
Data Analytics Course in Hyderabad
Learning Objectives
The Data Analytics Masters program is designed to provide you with the essential skills needed for a career in data analytics. By the end of this course, you will be able to analyze data, create visualizations, and generate useful ideas that will make you a useful support to any organization.
You will gain hands-on experience with popular tools like Excel, SQL, and Python, and learn how to clean and use data, perform statistical analysis, and visualize trends. This course will also prepare you for data analytics certifications, unlocking multiple career opportunities.
You will learn how to work with real-world data, uncover patterns, and apply analytics techniques. In Addition, the program includes practical projects that explain real-world plans, so you’ll be ready to tackle all the challenges in a data analytics environment.
Join us now in Hyderabad and build your bright career in Data Analytics.
- Comprehensive Training – Learn essential data analytics skills.
- Hands-on Experience – Work with Excel, SQL, and Python.
- Data Handling – Clean, manipulate, and analyze data.
- Statistical Analysis – Understand trends and patterns.
Visualization Skills – Create impactful charts and graphs.
Certification Preparation – Get ready for industry-recognized certifications.
Career Opportunities – Open doors to multiple job roles.
Data Analytics Training in Hyderabad
Training Modes
Classroom Training
- Interactive Face-to-Face Teaching
- Industry Expert Trainers
- One-on-One Support
- Collaborative Environment
- Hands-on Industry Projects
- Group Discussions
- Covers Advanced Topics
Online Training
- Virtual Learning Sessions
- Daily Session Recordings
- Instructor Support
- Interactive Webinars
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
Corporate Training
- Customised Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
Data Analytics Course In Hyderabad
Pre-requisites
Basic Computer Skills
Proficiency in using operating systems, file management, and basic software applications.
Mathematical Foundation
A strong understanding of basic mathematics, including statistics, probability, and algebra.
Analytical Thinking
Ability to logically analyze and interpret data to derive meaningful insights.
Understanding of Databases
Knowledge of databases and basic concepts of data storage, retrieval, and SQL.
Programming Knowledge
Familiarity with programming languages like Python or R is beneficial but not essential.
Problem-Solving Skills
Ability to approach and solve complex problems using data-driven methods.
Attention to Detail
A keen eye for detecting inconsistencies or errors in data.
Curiosity and Willingness to Learn
Enthusiasm for learning new tools, techniques, and concepts in data analytics.
Communication Skills
Proficiency in presenting technical findings in an understandable way for non-technical audiences.
Data Analytics Course in Hyderabad
Trainers Profile
Ms. Shaheda Tabassum
About the Trainer
Ms. Shaheda Tabassum , a highly qualified Data Analyst with a Master’s degree in Data Science and specializes in deriving actionable insights from complex datasets to enhance business strategies. She is senior Data Analyst and Data Scientist with – 10+ Years of Experience
She helps students to build strong skills, preparing them for success. She is also a Certified Excel Expert and with her guidance, students will learn to extract insights effectively. She excels in simplifying complex concepts, offering hands-on training with tools like Python, SQL, and Tableau, and guiding learners through real-world projects.
Data Analytics Course in Hyderabad
Tools Covered
Power BI is a user-friendly business analytics tool that helps you visualize and share insights from your data. With its interactive dashboards and easy-to-understand reports, Power BI enables businesses to make informed decisions by turning data into actionable information.
Microsoft Excel is a key tool in data analytics for organizing, analyzing, and visualizing data. It helps analysts clean data, perform calculations, and create charts to uncover trends and insights, making it essential for data-driven decision-making.
R is a programming language used for statistical analysis and data visualization. It allows you to manipulate data, perform complex calculations, and create clear, informative graphs, making it a powerful tool for data analysis and research.
SQL (Structured Query Language) is a language used to manage and analyze data in databases. It allows you to easily retrieve, update, and organize data, making it an essential tool for data analysis and decision-making.
Tableau is a powerful data visualization tool that helps you turn complex data into interactive, easy-to-understand charts and dashboards. It allows users to explore data visually, uncover trends, and make data-driven decisions quickly and effectively.
Pandas is a Python library that makes working with data simple and efficient. It helps you organize, analyze, and manipulate data with ease, making it an essential tool for data analytics and machine learning projects.
NumPy is a powerful Python library used for working with large datasets and performing mathematical operations. It makes working with arrays and matrices simple and fast, helping data analysts and scientists solve complex problems efficiently.
Where is Data Analytics Used?
Finance
In the financial sector, data analytics helps in detecting fraud, managing risk, forecasting market trends, and making data-driven investment decisions.
Retail
Retailers use data analytics to understand customer behavior, optimize inventory, personalize marketing campaigns, and enhance the overall shopping experience.
Marketing
Data analytics is essential in marketing for measuring campaign effectiveness, segmenting audiences, predicting consumer preferences, and maximizing return on investment (ROI) from marketing efforts.
Sports
In sports, data analytics is used to analyze player performance, optimize strategies, predict outcomes, and improve team management, all of which contribute to better results on and off the field.
Healthcare
Data analytics is used in healthcare to improve patient outcomes by analyzing medical data, optimizing treatment plans, predicting disease outbreaks, and streamlining hospital operations.
Transportation and Logistics
Data analytics plays a crucial role in route optimization, supply chain management, and predictive maintenance, helping companies in transportation and logistics reduce costs and improve efficiency.
Data Analytics Course in Hyderabad
Required Skills for Data Analytics Course
You need to understand basic statistics, such as averages, spread, and how data behaves, to make sense of the information.
Mastering Excel is important because it’s a handy tool for organizing, analyzing, and presenting data effectively.
Learning programming languages like Python, R, and SQL is crucial for manipulating and working with large datasets.
Being able to create clear visualizations using tools like Tableau and Power BI helps make complex data easy to understand.
A strong foundation in math is important, especially algebra, as it helps in applying analytical techniques to data.
Having good problem-solving skills is key, as you need to break down complex problems and find solutions through data analysis.
Knowing how to clean and preprocess data ensures that you can handle missing information and errors in the data before analysis.
Understanding the basics of machine learning will enhance your ability to work with advanced data analysis techniques.
Skills developed after Data Analytics Course
Data analysis and interpretation skills are developed, enabling you to identify meaningful patterns and trends in data.
You gain the ability to create impactful data visualizations using tools like Tableau and Power BI to make complex data easily understandable.
A strong understanding of statistics is built, which helps in making data-driven decisions and deriving insights.
Programming skills in languages like Python, R, and SQL are acquired, which allow you to manipulate large datasets effectively.
A strong foundation in math is important, especially algebra, as it helps in applying analytical techniques to data.
Data cleaning and preparation techniques are learned, ensuring that raw data is organized and ready for analysis.
A basic understanding of machine learning is gained, enabling the application of algorithms to make predictions and uncover deeper insights.
The ability to generate actionable business insights is developed, using data to drive better decision-making and strategies.
Data Analytics Certification Training in Hyderabad
Data Science Certification Training in Hyderabad offers hands-on courses that teach data analysis, machine learning, and problem-solving skills, preparing you for a successful career in technology. With expert guidance and practical lessons, this program helps you build essential data science skills that are highly valued in today’s job market.
Benefits of certification from a Data Analytics Master’s program:
Enhanced Career Opportunities: A Data Analytics Master’s certification boosts your resume, opening doors to high-demand roles in various industries, such as finance, healthcare, and technology.
Comprehensive Skillset: The program equips you with a broad range of skills, from data visualization and statistical analysis to machine learning and data management, ensuring you’re well-rounded in the field.
Industry Recognition: Earning a certification from a reputable Data Analytics Master’s program is a recognized credential that demonstrates your expertise and commitment to the field, making you stand out to employers.
- Increased Earning Potential: Certified data analytics professionals often command higher salaries compared to their non-certified counterparts due to their advanced skills and expertise
- Practical Experience: The program includes real-world projects and case studies, giving you hands-on experience in solving complex data challenges, which is valuable for both your learning and future job roles.
- Networking Opportunities: By joining a Data Analytics Master’s program, you connect with professionals, instructors, and peers, creating valuable networking opportunities that can lead to career growth and collaborations.
- Career Advancement: With a Data Analytics certification, you position yourself for promotions and leadership roles, as organizations prioritize professionals who can leverage data for strategic decision-making.
Future-Ready Skills: The program covers the latest trends and technologies in data analytics, ensuring that you are prepared for future developments in the field, such as AI and big data.
Data Analytics Course in Hyderabad
Placement Program
- This course in Hyderabad offers a comprehensive placement program designed to support students in securing rewarding job opportunities. The program includes personalized career counseling, resume building, and interview preparation to help candidates effectively showcase their skills to potential employers.
- Additionally, the institute provides access to a network of industry connections and job openings through partnerships with leading tech companies.
- Intensive 3-Month Curriculum: Engage in a rigorous, hands-on training program complete with assignments and tasks designed to build deep expertise.
- Comprehensive Project Execution: Gain real-time experience by implementing end-to-end projects that mirror industry practices.
- Capstone Projects: Work on multiple capstone projects to solidify your skills and showcase your capabilities in Generative AI.
- Practical Work Experience: Acquire hands-on experience that prepares you for the challenges of a professional environment.
- Interview Preparation: Receive expert guidance to excel in job interviews, with focused preparation on key topics and scenarios.
- Simulated Work Environment: Immerse yourself in a realistic work environment that prepares you for the demands of the industry.
- With this comprehensive program, you’ll be well-equipped to secure a top-tier position in the competitive job market.
Companies That Hired From Data Analytics Masters
Data Analytics Course in Hyderabad
Market Trends
- The Data Analytics field is evolving rapidly with several key trends. As more organizations are adopting data-driven models to streamline their business processes, the data analytics industry is seeing large growth.
- 1. Smarter and Scalable Artificial Intelligence: These systems are highly adaptive, protect privacy, are much faster, and also provide a faster return on investment. The combination of AI and Big data can automate and reduce most of the manual tasks.
- 2. Augmented Analytics: By integrating AI, ML, and natural language processing (NLP) with data analytics tools, augmented analytics is making it easier than ever for both technical and non-technical data analysts to explore data and uncover insights.
- 3. Edge Analytics: This approach basically brings the data processing closer to where it’s generated, like in smart devices or sensors. This means that instead of sending all the data to a central location for processing, it’s analyzed right where it’s created.
- 4. Data Governance and Ethics: As data privacy concerns grow, there is an increasing focus on data governance and ethical data use. Organizations are implementing stricter data policies and practices to ensure compliance and build trust.
- 5. Generative AI: Generative AI models, such as ChatGPT, are revolutionizing data analytics by offering new ways to analyze data and generate insights. These models can understand natural language, access vast amounts of information, and produce human-like outputs, significantly enhancing data analytics workflows.
- 6. Cloud Computing Integration: With cloud services like AWS, Microsoft Azure, and Google Cloud becoming more common, learning to analyze data stored in the cloud is a vital skill.
- 7. Real-Time Data Analytics: Real-time data analysis is gaining importance in sectors like e-commerce, healthcare, and finance. Courses now focus on teaching how to analyze and act on live data.
- 8. Cross-Industry Applications: Data analytics is being applied to all industries, from healthcare to sports and entertainment. Courses are being tailored to specific sectors to meet these growing demands.
- 9. Self-Service Analytics: The rise of self-service analytics tools allows non-technical users to analyze data without coding. Understanding these tools is an essential skill for future data analysts.
- 10. Shortage of Skilled Data Analysts: As data analytics becomes essential for business success, there’s a high demand for skilled professionals. This trend makes data analytics courses more attractive for career growth.
Data Analytics Course in Hyderabad
Testimonials
Data Analytics Course in Hyderabad
Highlights
- The Data Analytics Training provided by our institute is designed to cover basic to advanced topics with a strong foundation.
- Students will learn how to handle and manipulate the data and bring insights from it.
- The curriculum includes hands-on projects and real-world case studies to enhance practical skills.
- We at Data Analytics Masters Training have the most experienced instructors who are industry experts with extensive knowledge in Data Analytics and Data Science.
- The course is suitable for beginners as well as professionals looking to upskill in their career.
- Online and flexible learning options are available to accommodate different learning schedules.
- Students will gain access to exclusive tools and resources provided by us
- The institute provides career support and networking opportunities to help students advance in their career.
- Upon completion, students receive a certification from Data Analytics Masters, recognized by leading tech companies.
Frequently Asked Questions (FAQS)
What should I know before starting Data Analytics training?
Before starting your journey in Data Analytics training you should know the
- Basics Computer skills
- Basic Mathematics
- Analytical Thinking
- Understanding of Database
- Programming Knowledge
- Problem-solving skills
What topics will I learn in the Data Analytics Course?
You will learn fundamental concepts of data science, python, SOL, machine learning, deep learning, natural language processing and computer vision.
What are the training modes for Data Analytics Course?
Training is provided in various modes including classroom sessions, Online training, Hybrid training and corporate training programs. For more details you can contact to this number – 9948801222
What tools will be used in the Data Analytics training?
In Data Analytics training we use tools such as Tableau, Power Bi, Advances Microsoft Excel, Ruby language, SQL are used during the training.
What is the duration of the Data Analytics Course?
The duration of the course is 3 months. In this course, we also provide classes for resume preparation tips, mock interviews, and soft skills, so that you can achieve your dream job.
Will I receive a certification after completing the Data Analytics training?
Yes, once the participant successfully completes the course, they will receive a certification from Data Analytics Masters, which is recognized in the industry.
What kind of career support is provided?
Career support includes resume building, interview preparation, job placement assistance, and networking opportunities with industry professionals.
What if I miss any of my classes?
Our training institute provides recorded classes, or you can also join other batches if needed.
How can I enroll in the Data Analytics training program?
You can enroll by visiting our Data Analytics Masters website (https://dataanalyticsmasters.in/), selecting your preferred mode of training, and following the registration process.
What is the expected salary of a Data Analyst?
Data Analyst salaries depend on your knowledge and experience:
- Entry-Level Analysts: ₹3.5–₹5 LPA
- Mid-Level Analysts: ₹7–₹10 LPA
- Senior Analysts: ₹12–₹18 LPA
in Hyderabad by Brolly.Group