DATA ANALYTICS COURSE IN HYDERABAD
WITH
100% PLACEMENT ASSURANCE
- Structured Curriculum
- Hands-On Training
- Capstone Projects
- Flexible Learning Options
- Expert-Led Sessions
- Career Mentorship
- Internship Opportunities
- Certification Support
- Continuous Feedback
- Placement Assistance
Data Science Course in Hyderabad - Batch Details
| Trainer Name | SAI RAM |
| Trainer Experience | 10 Years |
| Next Batch Date | 18th Sept 2025 |
| Training Modes | Online |
| Course Duration | 3 Months |
| Call us at | +91 70938 54452 |
| Email Us at | info@upskilldataanalytics.com |
Data Analytics Course Syllabus in Hyderabad
Module 1: Introduction to Data Analytics
1.1 What is Data Analytics?
- Definition of Data Analytics
- Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- The data analysis process: Data collection, Data cleaning, Data analysis, Data interpretation
1.2 Importance of Data Analytics in Business
- How data analytics drives decision-making
- Examples of data analytics applications in various industries (e.g., finance, healthcare,
marketing)
1.3 Overview of Data Analytics Tools and Techniques
- Overview of tools: Python, SQL, Power BI
- Introduction to techniques: Data visualization, Statistical analysis, Machine learning
Module 2: Python for Data Analytics
2.1 Introduction to Python
- Installing Python and setting up the environment
- Python IDEs: Jupyter Notebook, PyCharm, VS Code
- Basic syntax, Variables, Data Types
- Control Flow: Conditional statements (if, elif, else), Loops (for, while)
2.2 Data Structures in Python
- Lists: Creating, Indexing, Slicing, List comprehensions
- Tuples: Creating, Accessing elements, Immutability
- Dictionaries: Creating, Accessing values, Adding/Removing keys
- Sets: Creating, Operations (union, intersection, difference)
2.3 Functions and Modules
- Defining functions, Function arguments, Return values
- Lambda functions
- Importing and using standard modules (math, datetime, os)
2.4 File Handling in Python
- Reading from text files (open, read, readline)
- Writing to text files (write, writelines)
- Working with CSV files (csv module)
Module 3: Working with Databases
3.1 Introduction to SQL
- Basics of SQL: SELECT, INSERT, UPDATE, DELETE
- Filtering and sorting data: WHERE, ORDER
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX
- Grouping data: GROUP BY, HAVING
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
- Subqueries and nested queries
- Indexes and their importance
- Connecting Python with MySQL (using mysql-connector-python)
Module 4: Python Libraries for Data Analytics
4.1 NumPy
- Introduction to NumPy and its importance
- Creating and manipulating arrays
- Array operations: Indexing, Slicing, Reshaping
- Mathematical functions and operations
4.2 Pandas
- Introduction to Pandas
- Series and DataFrame: Creation, Manipulation
- Data cleaning: Handling missing values, Duplicates
- Data transformation: Merging, Joining, Concatenating DataFrames
- Data aggregation and grouping
4.3 Matplotlib and Seaborn
- Introduction to Matplotlib
- Basic plotting: Line plots, Scatter plots, Bar plots, Histograms
- Customizing plots: Titles, Labels, Legends, Annotations
- Introduction to Seaborn
- Advanced visualizations: Pair plots, Heatmaps, Box plots, Violin plots
4.4 SciPy
- Introduction to SciPy and its importance
- Statistical functions: Descriptive statistics, Statistical tests
- Working with distributions: Probability distributions, Random sampling
- Optimization and curve fitting
Module 5: Statistics for Data Analytics
5.1 Descriptive Statistics
- Measures of central tendency: Mean, Median, Mode
- Measures of variability: Range, Variance, Standard Deviation
- Data distribution: Skewness, Kurtosis
5.2 Inferential Statistics
- Concept of population and sample
- Hypothesis testing: Null and alternative hypotheses
- Types of tests: t-test, Chi-square test, ANOVA
- Confidence intervals
- p-values and significance levels
5.3 Regression Analysis
- Simple linear regression: Concept, Equation, Interpretation
- Multiple regression: Concept, Equation, Interpretation
- Logistic regression: Concept, Equation, Interpretation
Module 6: Data Visualization with Power BI
6.1 Introduction to Power BI
- Power BI interface and navigation
- Importing data from various sources
- Data transformation and cleansing in Power BI
6.2 Creating Visualizations
- Overview of visualization types: Bar charts, Line charts, Pie charts, Maps
- Customizing visualizations: Formatting, Filters, Slicers
- Using DAX (Data Analysis Expressions) for calculated columns and measures
6.3 Building and Sharing Dashboards
- Designing interactive dashboards
- Best practices for dashboard design
- Sharing and publishing reports: Power BI Service, Power BI Embedded
Module 7: Case Studies
Case Study 1: Customer Segmentation
Objective: Segment customers based on purchasing behavior to improve targeted
marketing strategies.
Tools Used: Python (Pandas, NumPy), SQL, Power BI
Tasks:
- Data collection: Importing customer data
- Data preprocessing: Cleaning, Handling missing values
- Exploratory Data Analysis (EDA): Descriptive statistics, Visualizations
- Clustering analysis: Applying K-means clustering
- Visualizing segments: Creating visualizations in Power BI
- Insights and recommendations: Interpreting the results
Case Study 2: Sales Forecasting
Objective: Forecast future sales for a retail company to optimize inventory and
supply chain management.
Tools Used: Python (Pandas, NumPy, SciPy), SQL
Tasks:
- Data collection: Importing historical sales data
- Data preprocessing: Cleaning, Handling missing values
- Exploratory Data Analysis (EDA): Descriptive statistics, Visualizations
- Time series analysis: Decomposing the time series, Identifying patterns
- Building forecasting models: ARIMA, Prophet
- Model evaluation: Comparing model performance, Selecting the best model
- Visualizing results: Plotting actual vs. forecasted sales
Case Study 3: Fraud Detection
Objective: Detect fraudulent transactions in a financial dataset to minimize losses.
Tools Used: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), MongoDB
Tasks:
- Data collection: Importing transaction data
- Data preprocessing: Cleaning, Handling missing values
- Exploratory Data Analysis (EDA): Descriptive statistics, Visualizations
- Feature engineering: Creating new features from existing data
- Building classification models: Logistic Regression, Random Forest,
XGBoost - Model evaluation: Confusion matrix, Precision, Recall, F1 score
- Visualizing model performance: ROC curve, AUC
- Insights and recommendations: Interpreting the results, Implementing
Skills and Tools Covered by Data Analytics Course in Hyderabad
Data Analysis & Interpretation
Learn how to analyze datasets, identify trends, and interpret insights that support business decisions.
Data Cleaning & Preprocessing
Master techniques to remove errors, handle missing values, and prepare raw data for accurate analysis.
Exploratory Data Analysis (EDA)
Gain skills to explore datasets, uncover hidden patterns, and summarize key findings visually and statistically.
Statistical Analysis
Understand probability, hypothesis testing, and regression to make data-driven predictions and decisions.
Data Visualization
Design clear charts and visuals that simplify complex data and make insights easy to understand.
Business Intelligence Reporting
Build automated reports and dashboards to monitor performance and improve strategic planning.
SQL for Data Extraction
Write queries to extract, filter, and manage data from relational databases effectively.
Excel (Advanced Functions & Pivot Tables)
Use formulas, pivot tables, and advanced Excel tools for quick data analysis.
Python (Pandas, NumPy, Matplotlib)
Use Python libraries to organize, process, and present data in a clear and efficient way.
Power BI
Design interactive dashboards and business reports to communicate insights clearly.
Tableau
Learn to create visually appealing dashboards and perform advanced data storytelling.
Dashboard Design & Storytelling
Combine visuals, analytics, and narratives to present insights in a compelling way for decision-makers.
Placement Support Program at Upskill Dataanalytics
1-on-1 Technical Assistance
Get personalized help with projects, data cleaning, visualization, and tool-based challenges.
Flexible Support Timings
Access support beyond regular hours — early mornings, evenings, or weekends to match your schedule.
Interview Preparation
Mock interviews, Q&A sessions, and real-world case studies to boost your confidence in job interviews.
Code Reviews & Best Practices
Expert feedback on your analytics code and projects to ensure accuracy and efficiency.
Documentation & Delivery Help
Learn to prepare professional reports and present insights in a business-ready format.
Career Guidance & Mentorship
Continuous mentorship on career paths, growth strategies, and placement opportunities in leading companies.
Why Choose Our Data Analytics Course in Hyderabad
- Our Data Analytics Course in Hyderabad is designed to turn both beginners and working professionals into job-ready analysts. With guidance from expert trainers, you’ll work on real-time projects that mirror actual business challenges, ensuring you gain not just theoretical knowledge but practical experience.
- Throughout the program, you’ll master industry-leading tools like SQL, Python, Excel, Tableau, and Power BI, equipping you with the skills to analyze data, build dashboards, and deliver insights that solve real business problems. Alongside this, we provide dedicated placement assistance, helping you confidently step into a career in analytics.
- We focus on hands-on learning, giving you live project experience with real datasets. Flexible modes—weekday, weekend, and online—make the program accessible for students, working professionals, and career changers.
- With 100% placement support, resume building, and mock interviews, we guide you toward roles like Data Analyst and BI Developer. Choosing our data analytics training in Hyderabad means learning in India’s leading IT hub with strong career opportunities.
Key Highlights of Our Data Analytics Course in Hyderabad
Industry-Expert Trainers
Learn from certified professionals with 5+ years of real-world analytics experience.
Beginner to Advanced Curriculum
Covers everything from data basics to advanced analytics techniques.
Hands-On Learning
Practice with live projects and real-time business datasets.
Master Top Tools
Gain expertise in SQL, Python, Excel, Power BI, and Tableau.
Capstone Projects
Work on end-to-end case studies from domains like retail, healthcare, and finance.
Flexible Training Modes
Choose from online, offline, weekday, or weekend batches.
Interactive & Instructor-Led
Live sessions with Q&A, discussions, and doubt-clearing support.
Globally Recognized Certification
Get certified and enhance your career credibility.
Placement Assistance
Resume building, LinkedIn profile optimization, and 100% job support.
Career Guidance
Prepare for interviews with real-world technical Q&A sessions.
Affordable & Accessible
Quality training at budget-friendly pricing with EMI options.
Lifetime Learning Support
Access recorded sessions, learning resources, and continuous updates.
#1 DATA ANALYTICS COURSE IN HYDERABAD
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What is Data Analytics?
- Data analytics is the science of collecting, cleaning, and interpreting data to uncover insights that help businesses make informed decisions. It converts raw information into valuable knowledge that drives growth.
- Industries like IT, healthcare, banking, and retail rely on analytics to improve efficiency, predict trends, and understand customer needs. This rising demand has created excellent career opportunities for skilled professionals.
- Our Data Analytics Course in Hyderabad is designed to meet this demand with a curriculum covering SQL, Python, Excel, Tableau, and Power BI. The program blends theory with hands-on practice so learners can analyze data and build impactful dashboards.
- With real-time projects and case studies, our Data Analytics Course in Hyderabad ensures students gain practical exposure. This job-focused approach builds confidence and prepares learners to handle real business challenges effectively.
- By choosing a Data Analytics Course in Hyderabad, you not only gain technical expertise but also career mentorship, certification support, and 100% placement assistance. This pathway opens doors to roles such as Data Analyst, Business Analyst, and BI Developer in India’s top IT hub.
Learning Objectives – Data Analytics Course in Hyderabad
The Data Analytics Course in Hyderabad is designed to equip learners with essential skills in data management, analysis, and visualization. The training emphasizes practical exposure through live projects, enabling students to transform raw data into meaningful insights. By focusing on real-time applications, the course prepares learners to confidently apply analytical methods in business environments.
Along with technical mastery, the Data Analytics Course in Hyderabad ensures career readiness by combining tool-based learning with placement support. Students gain expertise in SQL, Python, Excel, Tableau, and Power BI while also developing communication and problem-solving skills. With resume guidance, interview preparation, and industry exposure, this program creates a complete pathway from learning to career opportunities.
➤ Gain strong knowledge of data gathering, preparation, and preprocessing techniques.
➤ Master SQL, Python, Excel, Tableau, and Power BI for analytics.
➤ Engage in live projects and case studies to build practical, hands-on experience.
➤ Learn to analyze complex datasets and deliver actionable insights.
➤ Build effective dashboards and visual reports for decision-making.
➤ Prepare for roles such as Data Analyst, Business Analyst, and BI Developer with placement assistance.
Data Analytics Course in Hyderabad - Overview
- Our Data Analytics Course in Hyderabad is designed to equip learners with the skills required to collect, process, and analyze data for meaningful insights. The program blends theory with hands-on practice, ensuring you master the tools and techniques used by industry professionals.
- With the growing importance of data-driven decision-making, companies are actively hiring skilled Data Analysts who can interpret numbers into strategies. Our Data Analytics Training in Hyderabad bridges the gap between theory and practice, preparing you to handle real business challenges with confidence. By the end of the course, you’ll be capable of turning raw data into actionable insights that support organizational growth.
- What makes this program unique is its career-focused approach. Along with technical training, you’ll receive guidance on resume building, LinkedIn optimization, mock interviews, and placement preparation. This ensures you don’t just learn tools, but also gain the confidence to present your skills to employers. With Upskill Data Science’s Data Analytics course, you’ll be job-ready for one of the most rewarding and fast-growing career paths in today’s digital world.
Foundations of Data Analytics – understanding data types, collection methods, and the analytics lifecycle.
Data Cleaning & Preparation – handling missing values, outliers, and preparing data for analysis.
Statistical Analysis – applying probability, hypothesis testing, and regression for decision-making.
Data Visualization – building dashboards and reports using Power BI, Tableau, and Excel.
SQL & Databases – querying and managing structured data for analytics.
Python for Analytics – Using Python libraries such as Pandas, NumPy, and Matplotlib to work on real-world data projects.
Business Problem Solving – applying analytics in domains like marketing, finance, healthcare, and operations.
Data Analytics Course Modes
CLASSROOM TRAINING
Expert Trainer Guidance
Interactive Group Discussions
Hands-on Lab Practice
Peer Networking Opportunities
Instant Feedback Sessions
Structured Learning Environment
ONLINE TRAINING
Live Interactive Classes
Real-time Doubt Clearing
Guided Project Work
Digital Study Material
Flexible Batch Timings
Zero Travel Hassle
VIDEO COURSE
Anytime Video Access
Self-paced Learning Mode
Easy Topic Revision
Assignments & Exercises
Missed Class Backup
Lifetime Learning Support
Data Analytics Course in Hyderabad – Prerequisites
Our Data Analytics Course in Hyderabad is designed to be beginner-friendly, so anyone with an interest in data and problem-solving can join. While there are no strict prerequisites, having the following knowledge will make learning smoother:
Basic Computer Skills
Comfort with using computers, spreadsheets, and internet tools.
Analytical Thinking
Strong logical reasoning and problem-solving mindset.
Mathematics Fundamentals
Basic understanding of statistics, probability, and algebra.
Programming Awareness
Familiarity with Python or SQL helps but is not mandatory.
Excel Knowledge
Fundamental knowledge of Excel functions and formulas for managing data.
Communication Skills
Why Should You Learn Data Analytics Course in Hyderabad?
- High Career Demand
Data Analytics is one of the fastest-growing fields, with companies actively hiring skilled professionals.
- Attractive Salaries
Data Analysts in India earn competitive packages, with salaries increasing as experience grows.
- Multiple Career Paths
Opportunities in roles like Data Analyst, Business Analyst, BI Developer, and Data Scientist.
- Industry-Relevant Skills
Master tools like Excel, SQL, Python, Tableau, and Power BI that are widely used across industries.
- Real-World Applications
Apply analytics in finance, healthcare, e-commerce, marketing, and technology to solve real problems.
- Future-Proof Career
With digital transformation, data-driven decision-making is here to stay — making analytics a secure and future-ready career choice.
Key Elements of Data Analytics Course in Hyderabad
- Foundations of Data Analytics
Gain clarity on the importance of data, its different types, and the complete analytics process.
- Statistics & Probability
Build a strong foundation in analytics through statistics, covering regression, distributions, and hypothesis testing.
- Data Handling & Preparation
Work with Excel, SQL, and Python to clean, transform, and manage data efficiently.
- Data Visualization
Master tools like Power BI, Tableau, Matplotlib, and Seaborn to present insights visually.
- Machine Learning Basics
Get introduced to predictive analytics with supervised and unsupervised learning models.
- Business Applications
Apply analytics to real-world domains like finance, marketing, healthcare, and e-commerce.
- Projects & Case Studies
Hands-on practice with real datasets and guided projects for practical learning.
- Career Support
Resume building, LinkedIn optimization, mock interviews, and placement assistance.
Where is Data Analytics Used?
Data Analytics is a versatile skill applied across multiple industries to improve decision-making, increase efficiency, and drive growth. After completing our Data Analytics Course in Hyderabad, you’ll be prepared to work in fields such as:
- Finance & Banking
Fraud detection, risk management, credit scoring, and investment analysis. - Healthcare
Medical image analysis, patient care optimization, drug discovery, and hospital management. - E-commerce & Retail
Analyzing customer behavior, building recommendation systems, managing inventory, and optimizing pricing models. - Marketing & Advertising
Targeted campaigns, customer segmentation, digital marketing performance tracking, and ROI analysis. - Information Technology (IT)
Network monitoring, cybersecurity, system optimization, and predictive maintenance. - Manufacturing & Supply Chain
Demand forecasting, process optimization, quality control, and logistics efficiency. - Education
Tracking student performance, curriculum improvement, and personalized learning insights.
Data Analytics Certification Training in Hyderabad
The demand for skilled analysts is growing rapidly, and our Data Analytics Course in Hyderabad is designed to equip you with the right mix of technical and business skills. Through expert-led sessions, real-world projects, and hands-on practice with tools like Excel, SQL, Python, Tableau, and Power BI, you’ll learn how to transform raw data into meaningful insights that drive business decisions.
With this Data Analytics Certification Training in Hyderabad, you gain not only strong conceptual knowledge but also practical exposure to industry case studies. The course prepares you for high-demand roles such as Data Analyst, Business Analyst, and BI Developer, making you job-ready from day one.
- At Upskill Data Analytics, completing your training earns you an industry-recognized certification that validates the expertise and skills you’ve developed throughout the program.
- This certification, combined with your practical knowledge, gives you a strong competitive advantage in the job market and opens doors to multiple career opportunities.
- Our Data Analytics Course in Hyderabad is designed to prepare you thoroughly for interviews with real-world projects, hands-on practice, and career-focused mentoring.
- With upgraded skills and a recognized certification, you can confidently showcase your qualifications and stand out to employers.
- As one of the trusted institutes for data analytics training in Hyderabad, we are committed to guiding you toward a successful career in analytics.
- Every program is carefully structured to provide job-ready skills, project experience, and placement support, ensuring you are fully equipped for industry demands.
Companies That Hired from Upskill DataAnalytics
DATA ANALYTICS SALARIES IN INDIA
Freshers who complete a Data Analytics Course in Hyderabad can expect salaries ranging from ₹4,00,000 to ₹6,00,000 per annum, with higher offers for top performers.
With 2–4 years of experience, professionals trained through a Data Analytics Course in Hyderabad typically earn between ₹7,00,000 and ₹12,00,000 per annum, depending on skills and domain.
Interns joining after a Data Analytics Course in Hyderabad usually receive stipends of ₹12,000 to ₹25,000 per month, gaining valuable industry exposure.
Senior Data Analysts and Consultants often see salaries grow to ₹12,00,000 – ₹18,00,000 per annum, showcasing how experience and certifications pay off.
Advanced roles such as Data Analytics Managers or Specialists, especially those who enhanced their skills with a Data Analytics Course in Hyderabad, can command salaries from ₹20,00,000 to ₹30,00,000+ annually.
Data Analytics Course In Hyderabad top Data Analytics careers
Data Analyst
- Role: Collect, clean, and analyze structured/unstructured data to generate insights for decision-making.
- Key Tools: SQL, Excel, Python (Pandas/NumPy), Tableau, Power BI.
- Average Salary in Hyderabad: ₹4 LPA – ₹8 LPA (freshers) | ₹10 LPA+ (experienced).
- Industries Hiring: IT services, healthcare, retail, fintech, and e-commerce.
Business Analyst
Role: Bridge the gap between business needs and technology solutions using data-driven insights.
Key Tools: Excel, SQL, Tableau, Power BI, requirement gathering tools.
Average Salary: ₹5 LPA – ₹9 LPA.
Career Path: Progression towards Product Manager / Business Intelligence Lead roles.
Data Scientist
Role: Build predictive models, use machine learning, and apply advanced statistics to uncover patterns.
Key Tools: Python (scikit-learn, TensorFlow), R, SQL, big data tools.
Average Salary: ₹8 LPA – ₹15 LPA+.
Why in Demand: Growing need for AI-driven decision-making in Hyderabad’s IT and startup ecosystem.
Machine Learning Engineer
Role: Create, train, and optimize ML models for automation and predictive analytics.
Key Tools: Python, ML frameworks, cloud platforms (AWS, Azure, GCP).
Average Salary: ₹9 LPA – ₹18 LPA.
Career Path: Strong demand in Hyderabad’s AI-focused companies and MNCs.
Data Engineer
Role: Design pipelines, build ETL workflows, and manage large-scale data infrastructure.
Key Tools: SQL, Apache Spark, Hadoop, cloud data services (AWS Redshift, Azure Data Lake).
Average Salary: ₹7 LPA – ₹14 LPA.
In Hyderabad: High demand due to growing fintech, SaaS, and analytics startups.
Big Data Analyst / Expert
Role: Handle and analyze large, complex datasets using big data frameworks.
Key Tools: Hadoop, Spark, Kafka, Hive.
Average Salary: ₹6 LPA – ₹12 LPA.
Industries Hiring: Telecom, banking, logistics.
Marketing Analyst
Role: Track marketing campaigns, customer behavior, and ROI through data insights.
Key Tools: Google Analytics, SQL, Excel, visualization tools.
Average Salary: ₹4 LPA – ₹9 LPA.
Best Fit For: Those blending marketing knowledge with data analytics.
Financial Analyst
Role: Use data models to forecast revenues, analyze risks, and optimize investments.
Key Tools: Excel, SQL, Python, BI tools.
Average Salary: ₹5 LPA – ₹10 LPA.
Hiring Sectors: Banking, insurance, fintech companies in Hyderabad.
Data Visualization Specialist
Role: Create dashboards, reports, and data stories for executives and stakeholders.
Key Tools: Tableau, Power BI, D3.js.
Average Salary: ₹4 LPA – ₹8 LPA.
Growing Need: Companies require professionals who can communicate data insights clearly.
AI Research Assistant / Junior Research Analyst
Role: Assist in AI/ML research projects, data preparation, and experiment tracking.
Key Tools: Python, ML libraries, visualization.
Average Salary: ₹5 LPA – ₹11 LPA.
Fit For: Those aiming for research or higher studies after Data Analytics training.
Advantages of Learning Data Analytics Course in Hyderabad
Thriving IT & Analytics Hub
Hyderabad is one of India’s top IT hubs, home to global companies like Microsoft, Google, Amazon, Deloitte, Infosys, and TCS. This creates a strong demand for skilled data analytics professionals, giving learners direct access to abundant job opportunities.
Affordable & Quality Training
Compared to other metros, Hyderabad offers cost-effective training programs without compromising quality. Institutes provide hands-on learning, real-time projects, and certifications at competitive prices—making it easier for students and working professionals to upskill.
Strong Placement Support
Most Data Analytics courses in Hyderabad include 100% placement assistance, resume building, LinkedIn optimization, mock interviews, and direct company tie-ups. This structured support helps learners transition smoothly into high-paying careers.
Exposure to Latest Tools & Technologies
Training programs cover industry-relevant tools such as:
Python, R, SQL , Excel (Advanced) , Power BI & Tableau ,Big Data & Cloud Platforms
Learners gain practical exposure, ensuring they are job-ready from day one.
Wide Career Opportunities
Completing a Data Analytics course in Hyderabad opens doors to top career roles like:
Data Analyst , Business Analyst , Data Scientist , Data Engineer , Big Data Expert , Visualization Specialist
These roles come with competitive salaries and global growth potential.
Flexible Learning Options
Institutes in Hyderabad offer classroom training, online batches, weekend classes, and fast-track courses. This flexibility allows students, freshers, and working professionals to balance learning with their existing commitments.
Networking & Career Growth
Being a tech city, Hyderabad hosts many meetups, workshops, and corporate training programs. Students get opportunities to network with industry experts, which enhances learning and opens new career paths
About Upskill Data Analytics
At Upskill Data Analytics, we provide industry-oriented training that equips learners with the right skills to build successful careers in data. Our Data Analytics Course in Hyderabad is designed to bridge the gap between academic learning and real-world applications by focusing on practical training, case studies, and live projects.
This Data Analytics Course in Hyderabad covers essential tools and technologies like Python, SQL, Excel, Tableau, and Power BI. Students learn how to clean, analyze, and visualize data to solve business problems effectively. Along with technical expertise, we also focus on developing communication and problem-solving skills that are crucial for professional success.
One of the biggest advantages of our Data Analytics Course in Hyderabad is the strong placement support. Learners benefit from resume workshops, interview preparation sessions, and direct connections with top hiring companies. With Hyderabad being a leading IT and analytics hub, completing this course gives students direct access to high-paying job opportunities.
Whether you are a fresher, a working professional, or someone looking to restart your career, our Data Analytics Course in Hyderabad offers flexible learning modes—classroom, online, and weekend batches—to suit different schedules. We ensure every learner gains hands-on experience through real-time projects and capstone assignments.
At Upskill Data Analytics, our mission is simple: to empower learners with the knowledge, confidence, and career support needed to succeed in today’s competitive job market. By choosing our Data Analytics Course in Hyderabad, you take the first step toward a rewarding career in one of the fastest-growing industries.
FAQ'S for Data Analytics Course in Hyderabad
What is Data Analytics and why should I learn it?
Data Analytics is the process of collecting, cleaning, and interpreting data to make better business decisions. Learning it gives you access to high-demand jobs across industries.
Who can join this course?
Fresh graduates, working professionals, and even non-IT aspirants can join. Basic logical thinking and interest in data are enough to get started.
What tools will I learn in the course?
You will gain hands-on experience with Python, SQL, Excel, Tableau, Power BI, and real-time project tools.
Is coding required to become a Data Analyst?
Basic coding knowledge in Python or SQL is helpful, but you don’t need to be an expert programmer to start.
How long is the Data Analytics Course in Hyderabad?
Most training programs range between 3 to 6 months depending on the learning mode—regular, weekend, or fast-track.
What are the career opportunities after completing the course?
You can work as a Data Analyst, Business Analyst, Data Engineer, or Visualization Specialist with great salary growth potential.
Will I get placement assistance?
Yes, institutes provide resume building, interview preparation, and company tie-ups to support your job search.
What is the average salary after completing the course?
Freshers can expect ₹4 LPA to ₹7 LPA, while experienced professionals may earn ₹10 LPA or more.
Why choose a Data Analytics Course in Hyderabad?
Hyderabad is an IT hub with top MNCs and startups. Training here provides direct exposure to industry experts and excellent placement opportunities.
How do I enroll in the Data Analytics Course in Hyderabad?
You can contact the institute directly through their website, request a demo session, or visit their Hyderabad training center for enrollment guidance.