Data Analytics Course in Hyderabad with AI
Join the top-rated Data Analytics Course in Hyderabad. Get practical training, resume support, and job assistance to launch your data career.
Data Analytics Course in Hyderabad
Data Analytics Course: Prepare for your career with our Data Analytics course in Hyderabad, designed to help you transform raw data into valuable business insights. Data Analytics is the process of examining raw data to find functional patterns, trends, and insights. It helps companies make more intelligent decisions by understanding what’s happening in their business. Our course includes essential tools and hands-on projects, providing a solid foundation for launching your career in the data industry. Our course will help you learn how to collect, clean, analyse, and visualise data using Excel, SQL, Power BI, Python, and other tools. Our Data Analytics training is perfect for fresh graduates and working professionals looking to transition into data Analytics roles. Our course starts with the basics, where you will learn about Excel, and later you get into advanced topics and tools like Python, Pandas, and NumPy for data analysis.
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Key Features of Our Data Analytics Course
- We provide a comprehensive curriculum for our Data Analyst training program. Our course includes Excel, SQL, Power BI, Python for Data Analysis, Data Visualization, Statistics, and Business Intelligence tools.
- You will get hands-on practice exposure on tools like Excel, SQL, Power BI, Python, Jupyter Notebook, Pandas, NumPy, and basic Tableau. These tools allow you to implement your hands-on practice in real time and enhance your skill set.
- You will get hands-on practical experience in Excel, SQL, Power BI, Python, Jupyter Notebook, Pandas, NumPy, and a basic Tableau overview to give you a well-rounded skill set.
- Our Data Analytics course features 100% placement assistance. You will get resume building, mock interviews, and job referrals from our placement team to help you land a job after the course.
- Our hands-on Training approach will help you learn through real-time case studies and datasets to gain practical experience. Each of our modules includes hands-on practical exposure that helps you better understand.
- Our trainer will help you with live projects, which will allow you to work on real-time business problems like sales reporting, customer segmentation, and trend analysis.
- Our Data Analytics training is led by Industry experts with 7+ years of real-time work experience. Their Data Analytics expertise helps you quickly learn complex concepts and focuses on practical teaching over theory.
- We offer both online and Classroom Data Analytics training, allowing you to choose between them at your convenience. Moreover, we also have weekday and weekend batches, which are specially designed for working professionals.
Why Choose Code Zen Eduversity for Data Analytics Course?
Guaranteed Placement Assistance for Job-Ready Candidates
- 120+ hours of training from real-time industry professionals.
- Small batch sizes for personalized learning approach
- Job-focused course with hands-on live projects.
- Dedicated career counselor and placement team for job assistance.
- Working professional trainers with 7+ years of experience.
- 100% placement support after completing the course.
- Back-up class recording with complete course materials.
- Industry level tools covered during the Data Analytics course.
- Exclusive lifetime access to our resources and community.
Data Analytics Training in Hyderabad
Course Curriculum Overview
Python Programming
- What can Python do
- Why Python
- Python vs other languages
- Python installation
- Print statement
- Comments
- Data types & structures
- String operations
- Input & output
- Output formatting
- Operators
- Indentation
- If
- If-else
- Nested if
- Multiple if
- If-else-if
- Loops
- While loop
- For loop
- Range
- Break & continue
- List
- Tuple
- Set
- Dictionary
- Built-in functions
- User-defined functions
- Variable arguments
- Function scope
- Lambda
- Map & Filter
- Create & access modules
- Errors
- Try-except
- Multiple exceptions
- Custom exceptions
- File modes
- Read / Write / Append
- File exceptions
- With statement
- Regular exception with symbols
- Predefined functions
- Abstraction
- Encapsulation
- Inheritance
- Polymorphism
- Constructor
- Functions
- Classes & Objects
- MySQL connection
- Create table
- Insert & select records
- Extract website data
- Export to Excel & CSV
- NumPy
- Pandas
- Matplotlib
Power BI
- What is BI
- History & benefits
- Components
- Desktop installation
- Building blocks
- Sample reports
- Create a sample report
- Get & edit data
- Excel, CSV, Folder
- SQL, Access, Website
- Power Query Editor
- Append & merge
- Filter rows
- Split & merge columns
- Remove columns
- Fix metadata
- Custom columns
- Refresh queries
- Data modeling basics
- Table relationships
- Build data models
- Hide columns
- Sorting & formatting
- Hierarchies
- Calculated columns
- Data dimensions
- Power BI visuals
- Bar, column, line
- Funnel, pie, donut
- Tree & maps
- Combo charts
- KPI & cards
- Tables & matrix
- Buttons & bookmarks
- Text, shapes & images
- Interactive dashboards
- Filters
- Slicers
- Parameters
- Interaction management
- Drill down / roll up
- DAX basics
- Syntax & data types
- Operators
- Logical functions
- Aggregate functions
- Date & time functions
- Text functions
- Mathematical functions
- Calculate functions
- Publish reports
- Power BI Service
- Web & mobile
- Export data
- Share dashboards
- Dataset refresh
- Role management
SQL
- What is SQL
- History & features
- DDL, DML, DCL, TCL, DQL
- Arithmetic
- Relational
- Logical
- Set
- Comparison
- Concatenation
- String
- Aggregate
- Date
- Conversion
- Analytical
- Math
- Other functions
- Select
- From
- Where
- Order By
- Distinct
- Group By
- Having
- Apply
- Case expression
- Primary key
- Unique key
- Identity
- Foreign key
- Default
- Check constraint
- Union
- Union all
- Intersect
- Except
- Inner join
- Outer join (Left, Right, Full)
- Self join
- Single row
- Nested
- Aggregate in subquery
- Multiple row
- IN, ANY, ALL
- Index
- View
- Stored procedure
- Trigger
Tableau
- Tableau overview
- Data visualization
- Products & versions
- File extensions
- Data types
- Dimensions & measures
- Aggregation
- Installation
- Data sources
- Live vs extract
- Worksheet overview
- Bar & stacked charts
- Line charts
- Maps
- Text & highlight tables
- Formatting
- Filter types
- Extract
- Data source
- Context
- Dimension & measure
- Quick filters
- Order of operations
- Basic calculations
- LOD calculations
- Table calculations
- Aggregate, logical, string
- Numeric & date functions
- LOD examples
- Table calculation examples
- Joins
- Relationships
- Blending
- Union
- Dual axis
- Combined axis
- Donut
- Lollipop
- KPI cards
- Groups
- Bins
- Hierarchies
- Sets
- Parameters
- Reference & trend lines
- Tiled vs floating
- Objects & layout
- Dashboard creation
- Filter actions
- Highlight actions
- URL actions
- Sheet actions
- Parameter actions
- Publish to Tableau Public
Skill Covered
- You will learn to collect, clean, and prepare structured and unstructured data for analysis using Python, Pandas, Excel, and SQL.
- You will get an understanding of core statistical concepts like mean, variance, probability, and distributions to support data-driven decisions.
- With tools like Numpy and Pandas, you can use Python to automate analysis, manipulate datasets, and create reusable functions.
- Able to build impactful charts and dashboards using Matplotlib, Seaborn, Power BI, Tableau, and AWS QuickSight.
- Get the ability to write and optimise SQL queries, perform joins, use window functions, and analyse large datasets efficiently.
- You can e-sign real-time interactive dashboards and reports for business users using Power BI, Tableau, and QuickSight.
- Use Scikit-learn to build, train, and evaluate models like linear regression for forecasting and business predictions.
- Using text cleaning, tokenization, and NLTK-based NLP techniques, you can analyse customer feedback and sentiment.
- You can quickly analyse trends and seasonality, and identify outliers using AI-powered models and decomposition techniques.
- Learn to use AWS services like S3 and QuickSight to manage and visualise data in cloud-based environments.
- Convert raw insights into compelling visual stories tailored to different audiences using visualization and structured reporting.
- Apply everything you’ve learned in live projects, like sales analysis, customer sentiment dashboards, and AI-powered BI systems.
Flexible Learning Options
Online Training
- 1 Hours Training
- 120+ Hrs
- Online Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Morning & Evening Slots Available
- Weekdays & Weekend Training
Classroom Training
- 1 Hours Training + 1 Hours of Practice Session
- 120+ Hrs
- In-Personal Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Only Morning Slots Available
- Weekdays Training Only
Placement Support and Career Opportunities
At Code Zen Eduversity, we offer 100% placement assistance opportunities after our Data Analytics course in Hyderabad. We help you prepare with mock interviews, resume building, and career guidance. Career mentorship and guidance from our team will help you gain access to job openings in MNCs and startups.
Job Roles You Can Target
- Data Analyst
- Junior Business Analyst
- Business Intelligence (BI) Analyst
- Data Visualization Executive
- Python Data Analyst
- Data Operations Associate
Pre Requisites
To learn the Data Analytics course with AI, you don’t need any coding background. Basic knowledge of Excel and logical thinking is sufficient. Therefore, whether you have a B.Tech, B.Com, B.Sc, or even a non-IT background, you can learn Data Analytics from the ground up. Everything is taught step by step, starting with the basics, making it ideal for both freshers and working professionals.
Who Should Enroll in Data Analytics Training?
- Students Pursuing Graduation
- Working professionals looking to change their domain to Data Analytics
- Any Degree - B. Tech, BSc, B.Com, BBA, etc.
- Anyone passionate about learning Data Analytics
Testimonials from our Alumni
Certificate Process
Code Zen Eduversity would provide a course completion certificate to the students who finish their training in Data Analytic.
The certificate would be offered to students within a week after completing the training program.
The certification will be given to the students who have completed their projects and assignments on time.
Frequently asked questions
We keep our fees affordable without compromising on course content. For the current offer price, you can contact us by phone or walk to our Madhapur location.
Yes, we do. We offer online and classroom training, where you can choose the training mode at your convenience.
Our data Analytics course at our institute does not require prerequisites. It is open to recent graduates or working professionals looking to switch careers.
The total duration of the course is 3 months, during which we teach you everything from the basics.
Yes, our Data Analytics training in Hyderabad features placement assistance. Our dedicated Team will help you build a resume and prepare for mock interviews.
Yes, our Data Analytics course includes real-time project exploration. Our trainer will also help you build your personal portfolio.
You can submit your details on our website or visit our offline location in Madhapur.
Yes, we offer course completion certification, which boosts your resume.