Looking for Data Analysis Training in Dilsukhnagar, Hyderabad? MS Soft Technologies offers practical, job-oriented Data Analysis training designed for students, freshers, working professionals and career switchers.
Learn the tools used in modern data analytics, including Advanced Excel, SQL, Python, Pandas, Power BI, Tableau, data visualization and AI-powered analytics.
Our training combines instructor-led learning, hands-on exercises, real-world datasets, projects, dashboard development and interview preparation.
Dilsukhnagar is one of Hyderabad’s established software-training hubs, making it convenient for students and working professionals from nearby areas such as LB Nagar, Moosarambagh, Kothapet, Chaitanyapuri, Nagole, Uppal and Saroornagar.
If you want to build a career in data analytics, learning a combination of spreadsheet analysis, databases, programming and business intelligence can provide a strong technical foundation.
At MS Soft Technologies, the course is structured around practical learning rather than only theoretical concepts.
Our Data Analysis course covers the complete analytics workflow:
1. Advanced Excel
Learn how to work with business data using:
- Excel formulas and functions
- IF, SUMIF, COUNTIF and logical functions
- XLOOKUP and lookup functions
- Data cleaning
- Sorting and filtering
- Conditional formatting
- Pivot Tables
- Pivot Charts
- Advanced Excel
- Data validation
- Dashboard creation
- Excel reporting
- Business case studies
2. SQL for Data Analysis
Build a strong foundation in database analysis:
- SQL fundamentals
- SELECT statements
- WHERE conditions
- ORDER BY
- GROUP BY
- Aggregate functions
- JOINS
- Subqueries
- CASE statements
- Views
- Window functions
- CTEs
- Data filtering and transformation
- Analytical queries
- Real-time SQL projects
3. Python for Data Analysis
Learn Python specifically for working with data:
- Python fundamentals
- Variables and data types
- Conditions and loops
- Functions
- Lists, tuples, sets and dictionaries
- NumPy
- Pandas
- DataFrames
- Data cleaning
- Missing-value handling
- Data transformation
- Exploratory Data Analysis
- Matplotlib
- Seaborn
- Business data analysis
4. Power BI
Learn how to transform raw data into interactive business dashboards.
Topics include:
- Power BI Desktop
- Data import
- Power Query
- Data cleaning
- Data transformation
- Data modeling
- Relationships
- Calculated columns
- Measures
- DAX
- KPIs
- Interactive dashboards
- Filters and slicers
- Drill-through
- Reports
- Dashboard publishing
5. Tableau
Learn the fundamentals of business intelligence and visualization:
- Tableau interface
- Connecting datasets
- Data preparation
- Charts
- Filters
- Calculations
- Dashboards
- Interactive visualizations
- Business reporting
Data Analysis with AI
Modern analysts increasingly use AI to accelerate data exploration, reporting and business insights.
Our advanced curriculum can introduce AI-assisted analytics concepts such as:
- AI-assisted data cleaning
- AI-assisted SQL query generation
- AI-assisted Python analysis
- Prompt engineering for data analysts
- Automated data interpretation
- AI-assisted dashboard insights
- Generative AI for reporting
- Natural-language data analysis
- Business insight generation
- AI-assisted documentation
- Analyst productivity workflows
The objective is to help learners understand how AI can support a data analyst’s workflow while keeping analytical reasoning and validation under human control.
Practical projects help you understand how analytics is applied to real business problems.
Project 1: Sales Dashboard
Analyze:
- Sales revenue
- Product performance
- Region-wise sales
- Monthly trends
- Customer segments
- Profitability
Build the final dashboard using Power BI.
Project 2: Customer Analysis
Analyze customer:
- Demographics
- Purchase behavior
- Customer segments
- Revenue contribution
- Retention patterns
Project 3: E-Commerce Analytics
Work with an e-commerce dataset to analyze:
- Orders
- Products
- Customers
- Revenue
- Discounts
- Delivery performance
- Profit
Project 4: HR Analytics
Build an HR dashboard covering:
- Employee count
- Department analysis
- Attrition
- Salary analysis
- Experience
Project 5: SQL Business Analysis
Use SQL to answer real business questions involving:
- Sales
- Customers
- Products
- Orders
- Revenue
- Performance
After completing the training, learners can build skills relevant to roles such as:
- Data Analyst
- Junior Data Analyst
- Business Analyst
- Reporting Analyst
- MIS Analyst
- Power BI Developer
- BI Analyst
- SQL Analyst
- Data Analytics Intern
Actual job requirements vary by employer, so learners should use projects and interview preparation to demonstrate their skills.
The course is suitable for:
B.Tech & Engineering Students
Build practical analytics skills before graduation.
Degree Students
Students from B.Sc, B.Com, BBA, BA and other backgrounds can develop analytics skills.
Freshers
Learn Excel, SQL, Python and Power BI from the fundamentals.
Working Professionals
Develop analytics skills for reporting, business intelligence or a career transition.
Career Switchers
Move toward data-oriented roles by developing a structured technical portfolio.
Non-Coders
You do not need advanced programming knowledge to begin. Python and SQL can be learned progressively as part of the course.
Practical Training
Learn concepts through exercises, datasets and projects.
Real-World Case Studies
Practice analytics using business-oriented scenarios.
Industry Tools
Work with Excel, SQL, Python, Power BI and Tableau.
Project Portfolio
Build projects that can be demonstrated during interviews.
Interview Preparation
Practice technical questions, project explanations and interview scenarios.
Flexible Batches
Weekday and weekend learning options can be offered depending on batch availability.
Online & Classroom Learning
Choose a learning mode according to your schedule.
Month 1
Excel + SQL
Learn advanced spreadsheet analysis and database querying.
Month 2
Python + Data Analysis
Learn Python, Pandas, NumPy, visualization and EDA.
Month 3
Power BI + Tableau + Projects
Build dashboards, reports and practical projects.
Advanced Track
Data Analysis with AI
Learn AI-assisted analytics, prompting, automation concepts and modern analyst workflows.
Actual course duration can vary depending on batch schedule and learning mode.
MS Soft Technologies is located near Dilsukhnagar Metro Station and offers software training across multiple technology domains. Its current website lists Data Analytics, Power BI, Data Science, AI/ML and other technology courses.
For Data Analysis learners, the training approach can be structured around:
- Practical exercises
- Real-world datasets
- Projects
- Dashboard development
- SQL practice
- Python analytics
- Interview preparation
- Career guidance
- Flexible learning options
The institute’s current analytics page specifically promotes Python, SQL, Power BI and Tableau, along with hands-on projects and placement assistance.
MS Soft Technologies is convenient for learners from:
- Dilsukhnagar
- Kothapet
- Chaitanyapuri
- Moosarambagh
- Saroornagar
- LB Nagar
- Nagole
- Uppal
- Malakpet
- Saidabad
- Amberpet
- Hyderabad
If you are searching for Data Analysis Training Near Me, Data Analyst Course in Dilsukhnagar, or Data Analytics Course in Hyderabad, you can attend a demo session and understand the curriculum before enrolling.
Data Analysis
- Focuses on analyzing existing data
- Excel, SQL, Power BI, Python
- Reporting and dashboards
- Business insights
- Suitable entry point for many beginners
Data Science
- Broader field involving prediction and modeling
- Python, statistics, ML, deep learning
- Predictive and prescriptive analytics
If your immediate goal is to learn Excel, SQL, Python and Power BI for analytics, a Data Analysis course can provide a focused starting point.
What is Data Analysis?
Data Analysis is the process of collecting, cleaning, transforming, exploring and interpreting data to identify useful information and support business decisions.
Which tools are taught in Data Analysis?
The core curriculum can include Advanced Excel, SQL, Python, Pandas, NumPy, Power BI, Tableau and data visualization.
Is Data Analysis suitable for freshers?
Yes. Beginners can start with Excel and SQL and progressively learn Python and Power BI.
Can non-coders learn Data Analysis?
Yes. You can start without advanced programming knowledge. Programming concepts can be introduced gradually through Python for data analysis.
Is Python necessary for Data Analysis?
Python is not required for every analyst role, but learning Python can expand your ability to clean, analyze and automate data workflows.
Is Power BI included?
Yes. Power BI can be used for data modeling, DAX, visualization, reporting and dashboard development.
Will I work on projects?
The training is designed around practical exercises, datasets, case studies and portfolio projects.
Is placement assistance available?
MS Soft Technologies currently advertises placement assistance, including resume preparation and interview guidance. Placement assistance should be understood as career support rather than a guarantee of employment.
What is the duration?
The duration depends on the selected batch and learning mode. A structured program can be completed in approximately 3 months, while an extended Data Science/AI track may take longer.
Where is MS Soft Technologies located?
MS Soft Technologies is listed at SVR Complex near Dilsukhnagar Metro Station, Hyderabad. MS Soft Technologies
Want to learn Data Analysis in Dilsukhnagar with practical projects and modern analytics tools?
Join MS Soft Technologies and build your skills in:
Advanced Excel → SQL → Python → Pandas → Power BI → Tableau → Data Analytics with AI
Location: Dilsukhnagar, Hyderabad