Training Certificate is Govern By 12 Global Associations.
Career Transition
Career Gap
Placement Activities
Placement Drives
Latest Hiring
Whats App Reviews.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
Course Design By
Nasscom & Wipro
Master data visualization, SQL, Python, and machine learning with our Data Analytics Course in Dehradun for career success.
4.2/5
4.8/5
4.6/5
4.3/5
4.5/5In collaboration with
Online/Offline
Format
LMS
Life Time Access
Book A Free Counselling Session
we train you to get hired.
- From learning basic Excel operations to advanced Python programming, SQL queries, data visualization tools like Tableau and Power BI, and even learning basics of machine learning, Data Analytics Course In Dehradun covers everything. This is different to short crash courses that this course promises will educate you on how data flows in a business, how to clean and prepare it, and how to take raw data and turn it into insights that can inform managers and businesses when they need to make decisions. Dehradun is developing into an education hub very quickly, and learning data analytics there means availing the advantages of modern learning, practical training, and placement support.
Data Analytics Course In Dehradun
- The main objective of this course is to help the students have a clear idea of how data is collected, processed, analyzed, and used to guide strategies in organizations. A Data Analytics Course Online makes you study the concepts and gain hands-on experience by handling live projects. The idea is to prepare you for the industry so that you can apply data analytics in real-life situations with ease, if you are a fresher or an experienced specialist.
- The prime objectives are:
To teach you Python and R programming for analytics tasks.
To gain strong skills in SQL for data management.
To be familiar with statistics and probability for sound decision-making.
To become proficient with tools like Tableau, Power BI, and Excel.
To explore machine learning basics like regression, clustering, and classification.
To utilize capstone projects that tie analytics to business situations.
- Every course is different, but this Dehradun data analytics course is special because it combines the extent of technical coverage with a focus on real-world projects. Data Analytics Classes In Dehradun features have been developed based on a research study of the requirements of Indian and global industries. The intent is to provide students with tools that can be applied in real-world contexts instead of book-based information.
- The most important features are:
100% hands-on training on technology like Python, SQL, Excel, Tableau, and Power BI.
Trainers with over 10 years of industry experience and teaching.
Data Analytics Coaching In Dehradun curriculum aligned with top certifications like Google Data Analytics and Microsoft Data Analyst.
Hands-on assignments after every module for reinforcing learning.
Resume preparation tips, interview prep, and placement.
Weekday and weekend classes with flexible timings to suit students and working professionals.
Lifetime access to course materials and video sessions.
- One of the most popular questions among students is whether or not they can join this course. The positive aspect of the Data Analytics Coaching in Dehradun is that it doesn't require very advanced programming skills beforehand. Anyone possessing basic knowledge of computers and logical reasoning can enroll. Still, it makes the learning process quicker if one has a technical background.
- Eligibility requirements are:
Computer Science, IT, Statistics, Mathematics, and Economics graduates.
Finance, HR, IT, or marketing professionals who want to shift their career towards analytics.
Beginners with some basic Excel skills but strong logical reasoning skills.
Engineers, management graduates, or even non-technical graduates who want to start an analytics career.
- The size of data analytics is huge, and for this reason, this course remains in demand. Every company, irrespective of the industry, wants to take data-driven decisions rather than assumption-driven decisions. This creates a constant need for skilled analysts. By pursuing Data Analytics Training In Dehradun, students not only open up opportunities for local companies but also global opportunities.
- Data Analytics Scope points:
Steep rise in demand for analytics experts in India.
Data Analytics is used in IT, finance, healthcare, e-commerce, telecom, and government projects.
Professionals with data analytics training can move to higher-paying roles at a fast rate.
Coverage includes career roles like Data Analyst, Business Analyst, BI Developer, and junior Data Scientist.
Knowledge gained through this course can be implemented in various industries.
- The highlight of this course is the well-structured modules. The course has been divided into different phases so that students move step by step from basic to advanced concepts. Each module includes a mix of theory, practical classes, and real datasets.
- Modules covered are:
Introduction to Data Analytics: Understanding what data analytics is and why it is used.
Excel for Data Analytics: Master pivot tables, advanced formulas, and data cleaning.
SQL: Database querying, joins, subqueries, and advanced database management.
Python Programming: Beginner to advanced concepts using Pandas, NumPy, and Matplotlib.
Data Visualization: Creating dashboards in Power BI and Tableau.
Statistics for Data Analytics: Probability, regression, hypothesis testing, and distributions.
Machine Learning Fundamentals: Linear regression, classification models, and clustering techniques.
Capstone Project: Real-world problem where students apply everything they've learned during the course.
- Certifications help authenticate your knowledge, and Data Analytics Training In Dehradun prepares you for some of the most popular industry-recognized certifications. A certification adds a touch to your resume and distinguishes you from professionals and freshers.
- Once you complete Data Analyst Classes In Dehradun, the freshers will be able to get decent salary packages because companies realize how valuable data analytics is. Salaries also increase depending on the industry and the certifications you hold.
- Salaries anticipated are:
Average salary of freshers: 4 LPA to 6 LPA.
Certified freshers with project experience: 6 LPA to 8 LPA.
If we consider metro cities such as Noida, Bangalore, and Pune, salaries increase to 7 LPA to 10 LPA.
Salary grows very fast with 2 to 3 years of experience, and it typically doubles.
- Data Analysis Course In Dehradun is not merely searching for your first job, but also long-term growth. A beginner can start off as a Data Analyst and move to a Data Scientist role in a short period of a couple of years if he keeps learning. The course lays a strong foundation for different career advancements.
- Career growth path:
Data Analyst Senior Data Analyst Data Scientist.
Business Analyst Analytics Manager Data Architect.
BI Analyst BI Developer Data Engineering Specialist.
Experts can also become consultants, freelancers, or trainers.
- Data Analyst Course In Dehradun is becoming very popular with students in Dehradun because the demand for analytics is growing, and here in Dehradun, the fee is much lower compared to metro cities. The city is a suitable place to study and establish a career.
- The popularity reasons are:
Low costs compared to other major metro cities.
Real-life case studies training of international class.
Growing need for data professionals in nearby NCR and metro cities.
Getting a chance to work on real-time datasets during the course.
Placement assistance post-course.
- Through this course, you become qualified for different job titles. Every title has certain responsibilities. Data Analysis Training In Dehradun qualifies you for these titles by imparting the required combination of technical and business skills.
- Roles and Responsibilities are:
Data Analyst: Cleaning, preparing, and analyzing data for insights.
Business Analyst: Interpreting business requirements into data solutions.
BI Analyst: Creating reports, dashboards, and visualizations for management.
Junior Data Scientist: Using machine learning methodologies to predict results.
SQL Developer: Developing intricate queries and database administration.
- Data Analytics skills are needed across all industries. I mean that upon completion of Data Analysis Training Institute in Dehradun, you're not restricted to IT alone. You could move to finance, healthcare, marketing, or government sectors too.
- Choosing the right institute to learn your course is as important as the Data Analytics Training Institute in Dehradun that you choose. We are committed to providing you with hands-on, project-oriented training to prepare you for the industry. We have carefully handpicked trainers and experienced professionals who have worked on big-bang analytics projects.
- Why choose us:
IT and Software Development.
Banking and Financial Services.
E-commerce and Retail.
Healthcare and Pharmaceuticals.
Telecom and Media.
Supply Chain and Logistics
10+ years experienced trainers with an industry background.
Live project work while studying.
Placement assistance with MNC tie-ups.
Global certification guidance.
One-on-one mentoring and regular doubt sessions.
Reasonable course charges in comparison to metro cities.
- You May Also Read:
Why Should You Learn Data Analytics?
Not just learning
we train you to get hired.
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
CURRICULUM & PROJECTS
Data Analytics Training Program
- What is Data Analytic
- Common Terms in Data Analytics
- What is data
- Classication of data
- Relevance in industry and need of the hour
- Types of problems and business objectives in various industries
- How leading companies are harnessing the power of analytics
- Critical success drivers.
- Overview of Data Analytics tools & their popularity.
- Data Analytics Methodology & problem-solving framework.
Get full course syllabus in your inbox
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
Get full course syllabus in your inbox
- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- Descriptive Statistics
- Sample vs Population Statistics
- Random variables
- Probability distribution functions
- Expected value
- Normal distribution
- Gaussian distribution
- Z-score
- Spread and Dispersion
- Correlation and Co-variance
- Data Preparation
- Feature Engineering
- Feature Scaling
- Datasets
- Dimensionality Reduction
- Anomaly Detection
- Parameter Estimation
- Data and Knowledge
- Selected Applications in Data Mining
- Need for structured exploratory data
- EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
- Identify missing data
- Identify outliers data
- Imbalanced Data Techniques
Get full course syllabus in your inbox
- Statistics
- Pandas
Get full course syllabus in your inbox
- SQL Server 2019 Installation
- Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
- SQL Server Features & Purpose
- Using Management Studio (SSMS)
- Conguration Tools & SQLCMD
- Conventions & Collation
- SQL Database Architecture
- Database Creation using GUI
- Database Creation using T-SQL scripts
- DB Design using Files and File Groups
- File locations and Size parameters
- Database Structure modications
- SQL Server Database Tables
- Table creation using T-SQL Scripts
- Naming Conventions for Columns
- Single Row and Multi-Row Inserts
- Table Aliases
- Column Aliases & Usage
- Table creation using Schemas
- Basic INSERT
- UPDATE
- DELETE
- SELECT queries and Schemas
- Use of WHERE, IN and BETWEEN
- Variants of SELECT statement
- ORDER BY
- GROUPING
- HAVING
- ROWCOUNT and CUBE Functions
- Table creation using Constraints
- NULL and IDENTITY properties
- UNIQUE KEY Constraint and NOT NULL
- PRIMARY KEY Constraint & Usage
- CHECK and DEFAULT Constraints
- Naming Composite Primary Keys
- Disabling Constraints & Other Options
- Benets of Views in SQL Database
- Views on Tables and Views
- SCHEMA BINDING and ENCRYPTION
- Issues with Views and ALTER TABLE
- Common System Views and Metadata
- Common Dynamic Management views
- Working with JOINS inside views
- Need for Indexes & Usage
- Indexing Table & View Columns
- Index SCAN and SEEK
- INCLUDED Indexes & Usage
- Materializing Views (storage level)
- Composite Indexed Columns & Keys
- Indexes and Table Constraints
- Primary Keys & Non-Clustered Indexes
- Why to use Stored Procedures
- Types of Stored Procedures
- Use of Variables and parameters
- SCHEMABINDING and ENCRYPTION
- INPUT and OUTPUT parameters
- System level Stored Procedures
- Dynamic SQL and parameterization
- Scalar Valued Functions
- Types of Table Valued Functions
- SCHEMABINDING and ENCRYPTION
- System Functions and usage
- Date Functions
- Time Functions
- String and Operational Functions
- ROW_COUNT
- GROUPING Functions
- Why to use Triggers
- DML Triggers and Performance impact
- INSERTED and DELETED memory tables
- Data Audit operations & Sampling
- Database Triggers and Server Triggers
- Bulk Operations with Triggers
- Cursor declaration and Life cycle
- STATIC
- DYNAMIC
- SCROLL Cursors
- FORWARD_ONLY and LOCAL Cursors
- KEYSET Cursors with Complex SPs
- ACID Properties and Scope
- EXPLICIT Transaction types
- IMPLICIT Transactions and options
- AUTOCOMMIT Transaction and usage
- AI Tools:
- Copilot in Azure Data Studio or GitHub for SQL suggestions
Get full course syllabus in your inbox
- Creation of Excel Sheet Data
- Range Name, Format Painter
- Conditional Formatting, Wrap Text, Merge & Centre
- Sort, Filter, Advance Filter
- Different type of Chart Creations
- Auditing, (Trace Precedents, Trace Dependents)Print Area
- Data Validations, Consolidate, Subtotal
- What if Analysis (Data Table, Goal Seek, Scenario)
- Solver, Freeze Panes
- Various Simple Functions in Excel(Sum, Average, Max, Min)
- Real Life Assignment work
- Advance Data Sorting
- Multi-level sorting
- Restoring data to original order after performing sorting
- Sort by icons
- Sort by colours
- Lookup Functions
- Subtotal, Multi-Level Subtotal
- Grouping Features
- Consolidation With Several Worksheets
- Filter
- Printing of Raw & Column Heading on Each Page
- Workbook Protection and Worksheet Protection
- Specified Range Protection in Worksheet
- Excel Data Analysis
- Data Table
- Pivot Table
- Generating MIS Report In Excel
- Text Functions
- Lookup & Reference Function
- Logical Functions & Date and Time Functions
- Database Functions
- Statistical Functions
- Financial Functions
- Functions for Calculation Depreciation
Get full course syllabus in your inbox
- Overview of BI concepts
- Why we need BI
- Introduction to SSBI
- SSBI Tools
- Why Power BI
- What is Power BI
- Building Blocks of Power BI
- Getting started with Power BI Desktop
- Get Power BI Tools
- Introduction to Tools and Terminology
- Dashboard in Minutes
- Interacting with your Dashboards
- Sharing Dashboards and Reports
- Power BI Desktop
- Extracting data from various sources
- Workspaces in Power BI
- Data Transformation
- Query Editor
- Connecting Power BI Desktop to our Data Sources
- Editing Rows
- Understanding Append Queries
- Editing Columns
- Replacing Values
- Formatting Data
- Pivoting and Unpivoting Columns
- Splitting Columns
- Creating a New Group for our Queries
- Introducing the Star Schema
- Duplicating and Referencing Queries
- Creating the Dimension Tables
- Entering Data Manually
- Merging Queries
- Finishing the Dimension Table
- Introducing the another DimensionTable
- Creating an Index Column
- Duplicating Columns and Extracting Information
- Creating Conditional Columns
- Creating the FACT Table
- Performing Basic Mathematical Operations
- Improving Performance and Loading Data into the Data Model
- Introduction to Modelling
- Modelling Data
- Manage Data Relationship
- Optimize Data Models
- Cardinality and Cross Filtering
- Default Summarization & Sort by
- Creating Calculated Columns
- Creating Measures & Quick Measures
- What is DAX
- Data Types in DAX
- Calculation Types
- Syntax, Functions, Context Options
- DAX Functions
- Measures in DAX
- Measures and Calculated Columns
- ROW Context and Filter Context in DAX
- Operators in DAX - Real-time Usage
- Quick Measures in DAX - Auto validations
- In-Memory Processing DAX Performance
Get full course syllabus in your inbox
- Data Visualization
- Business Intelligence tools
- Introduction to Tableau
- Tableau Architecture
- Tableau Server Architecture
- VizQL Fundamentals
- Introduction to Tableau Prep
- Tableau Prep Builder User Interface
- Data Preparation techniques using Tableau Prep Builder tool
- Features of Tableau Desktop
- Connect to data from File and Database
- Types of Connections
- Joins and Unions
- Data Blending
- Tableau Desktop User Interface
- Visual Analytics
- Basic Charts Bar Chart, Line Chart, and Pie Chart
- Hierarchies
- Data Granularity
- Highlighting
- Sorting
- Filtering
- Grouping
- Sets
- Types of Calculations
- Built-in Functions (Number, String, Date, Logical and Aggregate)
- Operators and Syntax Conventions
- Table Calculations
- Level of Detail (LOD) Calculations
- Using R within Tableau for Calculations
- Parameters
- Tool tips
- Trend lines
- Reference lines
- Forecasting
- Clustering
- Count Customer by Order
- Profit per Business Day
- Comparative Sales
- Profit Vs Target
- Finding the second order date
- Cohort Analysis
- Introduction to Geographic Visualizations
- Manually assigning Geographical Locations
- Types of Maps
- Spatial Files
- Custom Geocoding
- Polygon Maps
- Web Map Services
- Background Images
- Box and Whiskers Plot
- Bullet Chart
- Bar in Bar Chart
- Gantt Chart
- Waterfall Chart
- Pareto Chart
- Control Chart
- Funnel Chart
- Bump Chart
- Step and Jump Lines
- Word Cloud
- Donut Chart
- Introduction to Dashboards
- The Dashboard Interface
- Dashboard Objects
- Building a Dashboard
- Dashboard Layouts and Formatting
- Interactive Dashboards with actions
- Designing Dashboards for devices
- Story Points
- Tableau Tips and Tricks
- Choosing the right type of Chart
- Format Style
- Data Visualization best practices
- Publishing Workbooks to Tableau Online
- Interacting with Content on Tableau Online
- Data Management through Tableau Catalog
- AI-Powered features in Tableau Online (Ask Data and Explain Data)
- Understand Scheduling
- Managing Permissions on Tableau Online
- Data Security with Filters in Tableau Online
- Ask Data: Natural Language Data Exploration
- Explain Data: Automatic statistical insights
- Tableau GPT (Einstein Copilot - Salesforce)
- AI forecasting in visualizations
- Integration with Python (TabPy) and R
Get full course syllabus in your inbox
Get full course syllabus in your inbox
+ More Lessons
Course Design By
Course Offered By
Croma Campus
Real
Stories
success
inspiration
Mohit
career upgrade
Sristi Sharma
career upgrade
Ayush Bansal
career upgrade
Kajal
career upgrade
Get exclusive
access to career resources
upon completion
Mock Session
You will get certificate after
completion of program
LMS Learning
You will get certificate after
completion of program
Career Support
You will get certificate after
completion of program
Showcase your Course Completion Certificate to Recruiters
-
![checkgreen]()
Training Certificate is Govern By 12 Global Associations.
-
![checkgreen1]()
Training Certificate is Powered by “Wipro DICE ID”
-
![checkgreen2]()
Training Certificate is Powered by "Verifiable Skill Credentials"
in Collaboration with
Not Just Studying
We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
Mock Interviews
Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
How Croma Campus Mock Interview Works?![graph_new]()
Not just learning
we train you to get hired.
Phone (For Voice Call):
+91-828 706 0032WhatsApp (For Call & Chat):
+91-828 706 0032Download Curriculum
Get a peek through the entire curriculum designed that ensures Placement Guidance
Course Offered By
Request Your Batch Now
Ready to streamline Your Process? Submit Your batch request today!
.webp)
.webp)
.webp)
+91-828 706 0032
+91-828 706 0032 
+91-828 706 0032
+1 (782) 819-0044
Interested in Course?
.webp)
.webp)
.png)
