Crystalspiders Institute

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Crystalspiders Institute

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Master Data Analytics with Hands-On Training — Online & Offline

Real-Time Data Analytics Training — Online & Offline in Bangalore


At Crystalspiders Institute, our Data Analytics Course is designed to equip you with the skills to interpret data, uncover insights, and make data-driven decisions that drive business success. Whether you are a beginner or a professional looking to upskill, this program provides hands-on experience and practical exposure to industry-standard tools. 


Master the Art of Turning Data into Business Insights:


In the current data-centric environment, businesses depend on data analytics to enhance decision-making, forecast trends, and secure a competitive advantage. At Crystalspiders Institute, we offer an extensive Data Analytics Training Program that connects theoretical knowledge with practical application. 


Whether you are just starting out or a seasoned professional aiming to improve your skills, this course delivers practical training, live projects, and expert guidance to empower you to become a proficient data analyst. 

What You’ll Learn:


  • Data Fundamentals: Grasping the concepts of data types, sources, and methods of collection.


  • SQL for Data Management: Executing queries, filtering, and overseeing structured data.


  • Python for Analytics: Manipulating data with libraries such as Pandas, NumPy, and Matplotlib.  


  • Data Visualization: Developing interactive reports and dashboards using Power BI and Tableau.


  • Statistics & Probability: Utilizing analytical reasoning on real-world datasets.


  • Exploratory Data Analysis (EDA): Detecting trends, patterns, and anomalies.


  • Case Studies & Projects: Comprehensive problem-solving with business datasets 

Who can enroll: 


  • Individuals currently studying or who have recently graduated and are interested in pursuing a career in data.


  • Professionals currently employed who wish to shift their focus to analytics.


  • Experts in business and marketing who are in search of data-driven insights 


  • Business owners aiming to make well-informed decisions based on data


  • Anyone looking to build a career in Data Analytics or Business Intelligence 

Prerequisites for Data Analytics Course:


Our Data Analytics course is designed to be beginner-friendly, so no prior technical experience is required. However, having the following basic skills or understanding will help you grasp the concepts more easily: 


Recommended Prerequisites:

 

  • Basic Computer Skills: Comfort with using spreadsheets, browsing, and file handling.
     
  • Analytical Thinking: A curiosity for problem-solving and logical reasoning.
     
  • Mathematics Foundation: Basic understanding of statistics, percentages, and averages.
     
  • Communication Skills: Ability to interpret and explain findings clearly.


 Who Can Join Without Prior Experience?


Absolutely anyone with an interest in data and a willingness to learn!


Our trainers at Crystalspiders Institute start from the fundamentals and provide step-by-step guidance, making sure every learner — regardless of background — builds confidence in data analytics. 


Data Analytics Course Details

TRAINING STARTS

TRAINING STARTS

TRAINING STARTS

Mar 2nd, 2026 @ 09 AM to 10:30 AM IST

Demo classes on Mar 2nd & 3rd

at 09 AM to 10:30 AM IST

DURATION

TRAINING STARTS

TRAINING STARTS

16 Weeks

Weekdays (Monday to Friday) classes

Online & Offline Training

TRAINING FEE

TRAINING STARTS

TRAINING FEE

22000 INR

Included GST


Career Opportunities After Data Analytics Course Completion

 

After completing the Data Analytics Course at Crystalspiders Institute, you’ll be equipped with the technical, analytical, and business skills needed to build a successful career in one of the fastest-growing industries today.


Data Analytics professionals are in high demand across all sectors — from IT, Finance, and Retail to Healthcare, E-commerce, and Consulting. Organizations are actively seeking data-driven talent to help them make smarter business decisions.


Popular Career Paths You Can Explore:


  • Data Analyst – Analyze business data, prepare dashboards, and provide actionable insights.
     
  • Business Analyst – Bridge the gap between data and business strategy.
     
  • Data Visualization Specialist – Design and develop interactive dashboards using Power BI or Tableau.
     
  • Data Engineer – Manage, clean, and prepare data pipelines for analysis.
     
  • Marketing Analyst – Use analytics to understand consumer behavior and improve marketing campaigns.
     
  • Financial Analyst – Perform data-based financial modeling, forecasting, and reporting.
     
  • Operations Analyst – Optimize business operations using data-driven approaches.


Data Analytics course content presented in a step-by-step format that we adhere to cover.

  • Understand and define data analysis and data analyst
  • Discovering data analyst
  • Organizational roles in data
  • Understanding types of data job roles
  • Discovering skills of the data analyst


  • Learning to identify data 
  • Learning about data fields and types
  • Dealing with the data that you don't have
  • Learning SQL syntax and basic SQL statements - DDL and DML commands
  • Challenges and Solutions while Reading data from databases


  • Learn to interpret existing data
  • Finding existing data sets
  • Cleaning data
  • Understand data and flow
  • Understanding combine, joins and merge data sets
  • Work with joins in SQL and validation of data
  • Challenges and Solution where products are not categorized


  • Getting started with data projects
  • Discovering common beginner mistakes
  • Learning Excel datasets
  • Learning Database datasets
  • Maintain the original data and understanding truths about data


  • Learning about data governance
  • Understanding Source data
  • Working with flat files
  • Working with connections
  • Creating datasets for others


  • Understanding ELT in data
  • Cleaning data by using Excel macros
  • Cleaning data with Power Query
  • Working with reusable data
  • Modeling data with queries
  • Modeling data in Power Query
  • Challenges and solutions in Rename headers in Power Query


  • Convert data in Power Query 
  • Finding and removing duplicates
  • Changing case and replace values
  • Combining data with merge columns
  • Creating logical functions
  • Building aggregate datasets
  • Challenges and Solutions in count and amounts of products


  • Understanding Business Rules
  • Understanding noise in data
  • Breaking down the ask
  • Challenges and Solutions 


  • Understanding Queries 
  • Building basic SELECT queries
  • Building DISTINCT queries
  • Building SQL queries with Joins
  • Building SQL queries by using various SQL functions
  • Building SQL queries with Aggregated functions
  • Understand the ORDER BY clause


  • Ad hoc reporting
  • Building basic charts visual
  • Visuals using conditional formatting
  • Setting templates and default charts
  • Linking verus embedding chats and data
  • Challenges in Ad hoc presentation


  • What are the pivots?
  • Build basic pivot tables
  • Modifying pivots for readability
  • Visualizing pivot tables
  • Using pivots to filter data sets


  • Building a dashboards
  • Building a matrix and visuals
  • Use cards for numbers
  • Using visuals in Power BI for filters
  • Publishing visuals and data sets
  • Challenges and Solutions in developing Product dashboard


  • Using column profile to learn the data
  • Appending data by leveraging folders
  • Duplicate and reference data sets
  • Unpivoting data from existing reports
  • Custom sorting in Power BI
  • Challenges and Solutions in Custom Sort


  • Power BI Data sources
  • Load data into Power BI Desktop
  • Save files for use in Power BI
  • Create a new data set
  • Upload a Power BI Desktop file


  • Overview of Visualizations
  • Work with visualizations in a repot
  • Create a new report
  • Create and arrange visualizations
  • Save and format a visualization
  • Create chart visualizations
  • Use text and map visualizations
  • Create a Guage visualization
  • Use a slicer to filter visualizations
  • Sort, copy and paste visualizations
  • Download and use a custom visual from the gallery


  • Create a dashboard and pin a title
  • Pin a live report page to a dashboard
  • Add standalone tile to a dashboard
  • Edit a dashboard
  • Create a mobile view
  • Add a comment or alert to a tile
  • Subscribe to a dashboard
  • Set a featured dashboard
  • Use Lineage view


  • Overview: Sharing reports and dashboards
  • Publish a report to a website or portal
  • Embed a report in SharePoint online
  • Add a Power BI report tab to Microsoft teams
  • Share a dashboard or report


  • Install and launch Power BI Desktop
  • Get data, use views, reduce data and Transform data
  • Tweak your dataset for Q&A
  • Relate tables


  • Manage report page
  • Add a filter to a page
  • Add a filter to a report
  • Set visualizations interactions
  • Print a report or report page
  • Export slides to PowerPoint
  • Data Storytelling in PowerPoint


  • From data to insight with Python
  • What we need to know
  • Set up: Using Codespaces


  • Warmup with Python loops
  • Tuples, Lists, and the slicing syntax
  • Dictionaries and sets
  • Comprehensions
  • Data Classes
  •  Various programs to practice List, Set, WHILE and FOR loops


  • Overview: Finding anagrams
  • Loading dictionaries from text files
  • Finding anagrams


  • NumPy overview
  • Creating NumPy arrays
  • Indexing NumPy arrays
  • Doing math with NumPy arrays
  • Special arrays: Record and dates


  • Pandas overview
  • Pandas Data Frames and Series
  • Indexing in pandas
  • Math and plotting in pandas
  • Database operations in pandas
  • Understand challenges in Temperature anomaly


  • Overview: The structure of data
  • Importing data with pandas
  • Cleaning data
  • Filtering, reshaping, and tidying data
  • Simulating data


  • Overview: Exploring data
  • Summarizing quantitative data
  • Visualizing distributions
  • Comparing quantitative variables
  • Summarizing and visualizing categorical data


  • Overview: Understanding data
  • Fitting models to data
  • Model evaluation and selection
  • Testing hypotheses with monte Carlo
  • Understand the Gapminder model fit


COVID-19:


  • Overview: COVID-19 data
  • Summarizing COVID-19 data
  • Visualizing COVID-19 data
  • Modeling COVID-19 data


Weather Data:


  • Overview: Analyzing weather
  • Loading station and temperature data
  • Cleaning weather data
  • Smoothing and plotting time series
  • Weather carts
  • Understand challenges in Temperature anomaly


Baby Names:


  • Overview: Analyzing baby names
  • Loading name datasets
  • Comparing name popularity
  • Compiling top tens
  • Challenges with unisex names




  • Quick review of SQL
  • RDBMS
  • Common SQL structures


  • Using data types and identifying the wrong data types
  • Understand and find the missing values
  • Finding possible inaccurate data values


  • Manipulate the data (INSERT, UPDATE and DELETE) 
  • Key Constraints
  • Relationships among the tables
  • Combine the data sets - UNION, UNION ALL, INTERSECT, EXCEPT
  • Join the data sets - INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, CROSS JOIN


  • Understand and practice String Functions

               SUBSTRING(), UPPER(), LOWER(), REPLACE()

  • Understand and practice Date Functions

               GETDATE(), DATEADD(), DATEDIFF(), DATENAME(), DAY(), MONTH(), YEAR()

  • Understand and practice NULL Functions

               ISNULL(), and COALESCE()

  • Understand and practice Aggregate Functions

               SUM(), MIN(), MAX(), COUNT() and AVG()

  • Understand and practice analytical functions

               RANK(), DENSE_RAN(), ROWNUMBER()


  • Write sub-queries for various requirements 
  • Understand the Views and Functions in SQL
  • Create and execute the Stored Procedures


Why Choose Crystalspiders Institute?

 

At Crystalspiders Institute, we don’t just teach tools — we help you think like an analyst. Our courses are designed by data professionals with years of industry experience, ensuring you gain job-ready skills and confidence to handle real-world challenges.


Join hundreds of successful learners who have transformed their careers with Crystalspiders.
Enroll today and become a Certified Data Analyst!

Get in touch with us for further information.

Message us on WhatsApp

Crystalspiders Institute

Marathahalli, Bengaluru, Karnataka, India

+917338457517

  • Home
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  • PowerBI Analytics Course
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  • SQL DBA Course
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  • Python Interview faqs
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Crystalspiders Institute

Marathahalli, Bengaluru, Karnataka, India

+917338457517

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