The Data Analytics Classes online are 180 hours long and designed for both IT and non-IT professionals, as well as students. Participants receive a certification from StarAgile upon completion, with a focus on six key tools of Data Analytics Certification with a 6 month internship Our data analytics course is taught by expert trainers from top MNCs and includes interview assistance, mock interviews, resume, and LinkedIn services. The training is delivered through live online classes as part of the Data Analytics course, including a career coaching session for personalized guidance. 
180 hours of live online training with expert faculty. 6-month internship with live industry projects. Master SQL, Python, R, Excel, Tableau, Power BI & AI Data Analytics. Real-world case studies and hands-on assignments. Career assistance with mock interviews, resume & LinkedIn optimization. Personalized career coaching sessions with mentors. Globally recognized Data Analytics Certification. Flexible online learning for IT & non-IT professionals and students. Cell Referencing
Aggregate Functions
Logical Functions (IF, IFS, SWITCH, AND, OR)
Statistical Functions (SUMIFS, AVERAGEIFS, COUNT, COUNTA, COUNTIFS)
Excel Dynamic Tables
Writing Formulas using Dynamic Tables
Data Sorting
Data Filtering
Conditional Formatting
Flash Fill
PivotTables (DesignLayout,TableCalculations,CalculatedField,SlicersandTimeline,Adding
Calculated Columns)
Exploratory Data Analysis (EDA)
Working with Excel Charts (Components, Labels, Legends, Title)
Different Types of Charts(Bar, Pie, Line, Combo, Heatmap)
Dashboard(AddMultipleChartsonaSingleObject,CreateMultiplePivotTables,AddNumber
Cards, Add Multiple Slicers, Report Connections)
Working with Lookup Functions (VLOOKUP ,HLOOKUP ,Match ,Index ,OFFSET)
Function for Error Handling
X LOOKUP Function
Protect and Review(Protect Workbook, Project Worksheet ,Lock Cells ,Allow Users to edit
Ranges)
POWERQUERY(Load Data ,Applied Step ,Deleted duplicate records ,Remove Blank Rows,
Remove Errors ,Replace Values ,Replace Errors ,Pivot/Unpivot ,Split Columns ,Create new
Columns by patterns, Format from Text Columns ,Extract from Text Columns ,Text Functions,
Number Functions ,Date Functions ,Append Queries ,Merge Queries)
POWER PIVOT (Data Modelling, Relationship 1:M,M:M,Create Power Pivot)
Spill Over Functions (Sequence ,SORT,UNIQUE,FILTER)
Data Cleaning Functions (TEXTSPLIT, TEXTBEFORE, TEXTAFTER, TEXTBETWEEN)
Dynamic Array Function (DGET,DCOUNT,DSUM,DAVERAGE,DMAX,DMIN)
Google Sheets Fundamentals (formulas, functions)
Data Validation and Conditional Formatting
Data Filtering, Sorting, and Pivot Tables
Collaboration and Sharing Features
Google Apps Script for Automation (basics)
Integration with Google Forms and Data Studio
Introduction to Power BI
What is Business Intelligence (BI)
The role of Power BI in Business Intelligence
Key Benefits of Power BI
Components of Power BI
Architecture of Power BI
Download and installation of Power BI Desktop
Power BI Desktop
Overview of Power BI Desktop
Data Sources in Power BI Desktop
Connecting data Sources
Data Modelling
Tables and Matrix in Power BI
Tables (Conditional Formatting, Aggregations, Add Measures, Sorting, Table
Style) -
Matrix (Display Data in Row by Columns, Sub totals, Add Percentage, Drill Down
and Drill Up)
Creating Simple Charts (Bar Chart, Clustered Bar Chart, Stacked Bar)
Charts (Pie Chart, Donut Chart, Line Chart, Area Chart, Scatter Plot Chart, Map Charts)
Combo Charts
Waterfall chart
Histogram Chart
Working with Cards (Numeric Values, Character Values, Date Values)
Filters in Power BI (Filter on Visual, Filter on Pages, Filter on All Pages)
Slicers to Filter Reports Dynamically
Slicer Properties
Drill through across Pages
Custom Tooltip using Page
Bookmarks
Page Navigators
Power Query -
Load Data to Power Query Editor Transformation
Understand the Applied Steps
Promote Headers
Delete Top Rows, Blank Rows
Remove Unwanted Columns
Create New Columns
Text Functions (Split, Merge, Extract)
Number Functions (Basic Calculations, Percentage, Percent of)
Date Functions (Extract Date Part, Arithmetic with Dates)
Append Queries
Merge Queries
Unpivot Columns
Load Data to Power BI Desktop
Data Analysis Expressions (DAX)
Essential concepts in DAX
Why is DAX important?
DAX Syntax
Understanding of Measures and Calculated Columns
Calculated Columns (Row Functions, Expressions, Date Functions, Logical Functions)
Measures in DAX
Sum, SUMX
Calculate Function (Using of Filters, Logical Functions, SAMEPEROIDLASTYEAR)
Row Context and Filter Context in Power BI
Calculate MTD, QTD and YTD
Using the Measure and creating Visuals
SUMX Function
Related Function
Power BI Services
Create a Power BI Report
Row Level Security
Publish Report
Workspace
Publish Report to the Workspace
Install POWER BI Gateway
Configure Connections using Gateway Services
Schedule Refresh & Manual Refresh
● Introduction to Tableau
Tableau Introductions
Understanding Dimensions & Measures
Load Data into Tableau.
Filed Datatypes
Summarizing the Data
Conditional Formatting
Quick Table Calculations
● Data Visualizations
Bar Chart
Pie Chart
Line Chart
Area Chart
Combo Chart
● Advance Data Visualizations
Create Hierarchies
Treemap Chart
Scatter Plot Chart
Do-Nut Chart
Word Cloud
● Filters
Filter using Card
General, Wildcard, Calculations, Top N
Interactive Filters
Parameterized Filter
Context Filter
Datasource Filter
Action Filters
Geographic Charts
Symbol Map
Filled Map
Maps with Multiple Measure & Dimensions
● Dashboard and Story
Setting the Layout
Apply Filter for all Sheets
Action Filter
Apply Filter for only Selected Sheets.
Add dynamic Titles
Create Dashboard
Place Sheets in Story
Add Captions
Present the Dashboard and Reports.
SQL Select Statement
Understanding Select Statement
Filter Columns, use Expressions, Alias Names
Usage of Top, Distinct,
Using String and Arithmetic Expressions
Exploring Where Clause
Relational Operators
Logical Operator
Between
IN
Sorting data using Order By clause.
Using Column Names
Using Column Index
Based on Multiple Columns
SQL Function
Aggregate Functions
Count, Sum, Min, Max, Avg
Group by Clause
Having Clause
Using Group by with Rollup
Conversion Functions
Date Functions
Extract Parts of Date and Time using Abbreviations
DatePart
DateName
DateAdd
DateDiff
Mathematical Functions
Multi-Table Queries
Describe joins.
Describe the various types of joins.
Inner Join
Outer Join
Left Outer Join
Right Outer Join
Full Outer Join
Join with More than 2 Tables.
Self-Join with Example
Sub - Query
Single Row Subquery
Multi row Subquery
Multi column Subquery
Use Sub Query with DML Statement.
Set Operators
UNION
EXCEPT
INTERSECT
Window Function
Window Functions
Window Aggregate Functions
Window Ranking Functions
Rank
Dense Rank
Row Number
Over Clause
Partition by
Order by
Lead & Lag Functions
First_value, Last_value
Range (unbounded preceding, current row, unbounded following)
Common Table Expression (CTE)
Understand the use of CTE.
CTE Syntax
CTE Query with Example
Using multiple SQL server CTE in a single query
Implementing Views
Introduction to Views
Defining Advantages of Views
Creating, Altering, Dropping Views
Modifying data through Views
Introduction to Python.
Installing Python and PyCharm IDE
Statements, Indentation & Comments
Naming convention of Identifiers.
Variables, Datatypes,
Numbers Datatype
Operators
Arithmetic
Relational
Logical
Special
Numeric Datatype
String Types
Slicing
String Operations
String Functions and Methods
Traversing a String
Programming Constructs
IF …. elif … Else
While Loop
Range
For Loop
Nested Loop
List
List Slicing
List Operations
List Functions and Methods
Tuple
Creating a Tuple,
Tuple Operations,
Tuple Functions and Methods
Sets
Creating Sets
Set Methods.
Dictionary
Creating Dictionary
Understanding Kay and Value Pairs.
Dictionary Functions and Methods
Nested Dictionary
File Input and Output Operations
Opening and Closing Files
Reading and writing Files.
File Modes
Exception Handling
Try Except Blocks
Else Block
Finally Block
Raise Exception
Creating User Defined Exceptions
Numpy
Understand the Advantages of Numpy over Python List
Numpy Operations
Slicing
Mathematics Functions using Axis
Numpy Matrices
Stacking Multiple Arrays
Pandas Series
Create Series using List,Array,Dictionary
Assign Custom Index to the Series
Accessing Elements
Functions
Sub-setting
Vectorized Operations and Series Indexes
Dropping Na values
Apply Function
Data Frame
Create Data frame
Assign custom Index
Assign custom Column Names
Read Data from CSV Files
Read Data from Excel Files.
Selection Data (loc, iloc)
Set Index and Filter Data
Analyzing Data-Frame’s Data
Data Cleaning
Write Data back to Excel File
Remove Empty Cells (dropna)
Replace Empty Values
Group By Function
Concat Data Frames
Merge Data Frames
Convert Dataframe to Pivot Table
Data Visualization Matplotlib.
Intro to MatplotLib.
Installation of MatplotLib Library.
Plot Default Graph
Add Elements to Graph
Create different types of Charts.
Add Labels
Legends
Axis
Line plots
Scatter plots
Bar charts
Pie charts
Histogram
Create Subplot
Customizing Matplotlib Plots
Changing colors, markers, and line styles
Adding gridlines & annotations
Adjusting axes limits and ticks
Using styles (plt.style.use())
Seaborn
Introduction to Seaborn
Built-in datasets (sns.load_dataset())
Seaborn vs Matplotlib – When to use each
Basic Seaborn Plots:
sns.scatterplot()
sns.lineplot()
sns.barplot() vs sns.countplot()
sns.histplot() & sns.kdeplot()
Seaborn Advanced Plots
Boxplots & Violin plots
Pair plots & Joint plots
Heatmaps (sns.heatmap()) – correlation matrices & pivot tables
Categorical plots (stripplot, swarmplot)
Regression plots (sns.regplot(), sns.lmplot())
Customizing Seaborn Plots
Changing color palettes
Themes (sns.set_theme(), sns.set_style())
Adding titles & annotations
Combining Seaborn with Matplotlib
Regular Expressions (Regex)
Combining Seaborn with Matplotlib
Introduction to Regex Syntax and Patterns
Character Classes, Quantifiers, and Anchors
Grouping and Capturing
Lookarounds and Backreferences
Regex in Python (re module)
Practical Applications (data cleaning, text parsing)
Sales Performance Analysis and Forecasting Using Excel
Domain: Business Analytics and Data Analysis
Sales Analytics and Customer Insights Using Python
Domain: Business Analytics and E-Commerce
Online Food Delivery Management System Using Power BI
Domain: Information Technology
This data analytics certification course delivers hands-on training in industry-standard tools, giving you practical skills valued across sectors.
It includes real-world case studies taught by experienced professionals, ensuring you understand the practical applications of data analytics.
Upon completion, you will receive the data analytics classes online along with a 6-month internship certificate, boosting your job readiness.
The flexible programs allow you to learn at your own pace while interacting with experts and mentors.
Gain proficiency in SQL, Python, R, and Tableau—essential skills for solving complex data challenges in a data-driven environment.
To enrol in the data analytics certification, candidates only need a bachelor’s degree in any field, making the course open to both IT and non-IT professionals, as well as students looking to switch careers or upskill in a data analytics course. While some familiarity with statistics or Excel can be helpful, it’s not a requirement to get started.
The instructors for the data analytics are highly experienced professionals with backgrounds in leading MNCs and practical, real-world experience. They bring expertise in various areas of data analytics, including machine learning, data wrangling, and predictive analytics. Their practical knowledge helps you connect theoretical concepts with real-world applications, ensuring you gain a deep understanding of how the data analytics classes online functions in professional environments.
The data analytics certification is offered in a live online format. This adaptable format lets you study wherever you are without being cut off from live, interactive courses. You have the opportunity to interact with instructors and students in real time, pose questions, participate in discussions, and access materials on your own schedule. It's made to be fully integrated into the hectic lives of working professionals looking for data analytics training online through flexible data analytics classes online.
The data analytics certification course spans 180 hours. The schedule is built to suit both professionals and students, with options available on weekdays and weekends. This flexibility lets you pick times that work best for you while still covering key topics like data preprocessing, data cleaning, and predictive modeling, making it one of the best data analytics programs for career-focused learners.
Throughout the data analytics classes online, you'll be working on real case study projects and assignments that simulate real-world data analysis issues. These also will be capstone projects in areas like Salesforce analytics and Tableau, building a strong portfolio. These projects will give you the skills you need in data visualization, machine learning, and data-driven decision-making, preparing you for industry-specific work in data analytics online programs
Yes, upon successful completion of the data analytics training certification, you will receive a certification from StarAgile, recognized globally by employers in industries ranging from marketing to finance. Additionally, you will also earn a 6-month internship certificate, which will add further value to your resume and enhance your job readiness, making it one of the best data analytics certifications available.
The certification demonstrates your proficiency in key data analytics tools such as SQL for Data Analysis, Python Data Analytics, and Excel for Data Analytics. It helps you get recognized by top employers in today’s competitive business environment. You'll be certified as a data analyst with this certification, becoming renowned in business intelligence, marketing, and other professions that value strong analytical skills.
We offer several convenient payment options for the data analytics certification course, including credit/debit card payments and instalment plans. This flexibility ensures that you can manage the course fees in a way that works best for you, allowing you to focus more on your learning experience.
To enroll in the data analytics training course, visit our website, fill out the enrollment form, and select your preferred payment option. Once completed, you will receive a confirmation email with all the details you need to get started, including login information for the data analytics training online programs.
If you miss a live session, you can easily catch up by accessing the recorded classes through the course portal. Additionally, our instructors are available for any follow-up questions or clarification. This ensures you stay on track with your learning, even if you miss a class in our best data analytics program or other data analytics online programs.
Absolutely! You can schedule a consultation with one of our course advisors to discuss any questions or concerns you may have about the course. This personalized session will give you a clearer understanding of how the our data analytics online programs align with your career goals and help you make an informed decision before enrollment.
For more information, you can reach out to our support team via email or phone. You can also contact your dedicated course advisor directly through the website or using the contact information provided after scheduling your consultation for our data analytics online programs.
After completing the training, you’ll continue to receive career support, including interview preparation, resume building, and LinkedIn optimization. Additionally, you'll gain access to job opportunities through our network, which includes exclusive job openings in data analytics, product analytics, and marketing analytics roles, all of which are connected to our data analytics online programs.
While no specific prerequisites are required, we recommend reviewing basic Excel skills and gaining a foundational understanding of statistics. Familiarity with these topics will help you grasp the course material more quickly, particularly when learning about data wrangling and data preprocessing in the data analytics online.
Yes, we offer a free demo session for prospective students of our data analytics certification. This allows you to experience the course format, interact with instructors, and get a feel for the curriculum. You can ask questions during the session to better understand the course structure before making a commitment.
This certification is ideal for both IT and non-IT professionals, as well as students who want to transition into data analytics or pursue careers in business intelligence, product analytics, or data-driven decision-making roles. No prior experience is necessary, although basic familiarity with Excel or statistics can be beneficial.
The data analytics certification courses online cover essential modules such as data processing, data visualisation, statistical analysis, machine learning, and hands-on training in Excel, SQL, Python, R, Power BI, and Tableau. These modules ensure a comprehensive understanding of data analytics tools and techniques, which are crucial for succeeding in real-world analytics projects.
The Basic Plan for data analytics training online includes live interactive training, doubt clarification sessions, a StarAgile certificate, LMS access, session recordings, and coverage of 6+ tools. The Pro Plan offers all the features of the Basic Plan, plus resume building, LinkedIn optimization, three mock interviews, 1-on-1 career coaching, a 6-month internship certificate, unlimited revision sessions, and a 10% discount on your next high-level agile certification.
Yes, you can withdraw from the data analytics certification. Refunds are available if the course starts after 3 days of enrollment and the request is made within 3 days. If the course starts within 3 days, refunds are only provided if requested before the course begins.
Data analytics involves the process of inspecting, cleaning, transforming, and modelling data to extract useful information, support decision-making, and uncover trends. It is essential in various industries such as finance, healthcare, and marketing. If you're looking to acquire the skills necessary for these tasks, enrolling in the data analytics certification courses can provide you with the expertise and practical knowledge needed to excel in this field and enhance your career prospects.
Yes, the StarAgile data analytics certification is recognized by top employers globally. It enhances your capabilities and makes you a competitive data analyst job candidate with new career prospects. By enrolling in one of the best data analytics certification courses, you gain the practical skills and knowledge that employers are actively seeking.
With the skills and hands-on experience gained in this course, along with interview assistance and internship certification, your chances of getting hired as a data analyst increase significantly. By enrolling in the best data analytics program, you’ll be well-prepared to stand out to top employers.
The most in-demand roles include Data Analyst, Business Intelligence Analyst, Data Scientist, Data Engineer, and Data Visualisation Specialist, as organisations across industries look to harness data for decision-making. Completing the best data analytics program will equip you with the skills needed to qualify for these high-demand positions.
A typical Data Analyst career path starts with entry-level positions, followed by roles such as Senior Data Analyst, Data Scientist, and eventually positions like Data Analytics Manager or Chief Data Officer. Completing the best data analytics program can help you fast-track your career, equipping you with the skills and knowledge needed for these advanced roles.
Yes, data analysts enjoy competitive salaries. The average salary ranges from CAD 60,000 to CAD 90,000 annually, with higher pay potential as you gain experience and specialize in advanced analytics roles. By completing a data analytics training course, you’ll be well-positioned to earn a higher salary and advance in your career.
Programming languages such as Python, R, and SQL are utilized by data analysts during data manipulation, analysis, and visualization. Code fundamentals are mandatory, but overall programming skills are not always needed for every data analyst role. By enrolling in a data analytics training course, you’ll gain the foundational coding skills needed for data analysis and become proficient with key programming languages.
Data analysts typically use tools like Excel, SQL, Python, R, Power BI, Tableau, and other business intelligence software to clean, analyse, and visualise data. Enrolling in a data analytics training course will equip you with hands-on experience using these tools, helping you become proficient in data analysis and visualisation.
Key skills of a data analyst include data manipulation skills, statistical analysis, data visualisation, proficiency in tools like Excel, SQL, and Python, and improved problem-solving skills. By attending data analytics training classes, you’ll develop these essential skills and gain hands-on experience with industry-standard tools.
While the learning curve can be steep for beginners, the data analytics course at StarAgile is designed to help you grasp the concepts step by step. With hands-on practice and the support of experienced trainers, learning data analytics becomes much more manageable. By attending the data analytics training classes, you’ll gain practical knowledge and the confidence to apply it in real-world scenarios.
Yes, the course for Data Analytics is a fundamental course. It starts with basics and then slowly moves towards more advanced content, and hence students who know nothing are able to keep up. By enrolling in the data analytics training classes, you'll receive a strong foundation and the support needed to progress through the course at your own pace.
Beginners can start by familiarizing themselves with basic statistics and Excel. Data analytics training is specifically designed to introduce data analytics from the ground up, providing both theoretical knowledge and hands-on practice. By enrolling in the training, you’ll gain a solid foundation and practical skills to kick-start your career in data analytics.
Yes, in fact, a StarAgile data analytics certification is of immense worth in today’s job market. It proves your experience and commitment to employers, and you are a valuable candidate for data analytics roles. By enrolling in the best data analytics training, you’ll gain the skills and knowledge to stand out to top employers.
After completing the certification online, you can apply for roles such as Data Analyst, Business Intelligence Analyst, Junior Data Scientist, Data Visualisation Specialist, and more.
A Data Analyst is responsible for gathering, processing and analyzing data and uncovering trends and insights to guide business decisions. They use techniques and tools like statistical analysis and data visualization to communicate findings. By completing the best data analytics certification online, you'll gain the expertise needed to excel in these tasks and drive data-driven decision-making in organizations.
Yes, data analytics is a rapidly growing field with high demand. With the increase in data-driven decision-making, data analysts are crucial for businesses, and the career offers opportunities for growth and lucrative salaries. Enrolling in data analytics certification can give you the skills and credentials to seize these opportunities and advance in the field.
It is not a requirement to have a degree to be a data analyst. But computer science, engineering, or mathematics would be beneficial to study. Our data analytics certification courses online offer a pathway to a data analytics career, regardless of your degree, providing you with the skills and knowledge needed to succeed in this growing field.
To become a Data Analyst, you'll need to build a strong foundation in key areas like data manipulation, statistical analysis, and data visualization to effectively analyze and interpret data. Completing a data analytics course certification, like the one offered by StarAgile, will equip you with the necessary knowledge and hands-on experience to excel in the field.
Yes, the course includes a 6-month internship program, providing you with hands-on experience in data analytics projects, which will help enhance your skills and make you more employable. Upon completion, you will earn a data analytics course certification, boosting your career prospects and making you stand out to potential employers.
To enroll in the data analytics certification, all you need is a bachelor’s degree in any discipline.
These data analytics classes online benefit IT and non-IT professionals, as well as students seeking to move into data-driven careers.
No prior experience in data analytics is required; however, familiarity with Excel and basic statistics will be helpful.
Our data analytics classes online are ideal for those pursuing careers in analytics, business intelligence, or any role involving data-based decision-making.
Completing the program positions you for the data analytics classes online, enhancing your employability in a rapidly growing industry.
At StarAgile, our data analytics training online combines foundational knowledge with real-world applications. You’ll learn to clean, transform, and model data to uncover insights, support decision-making, and address business challenges.
In today’s market, mastering skills such as statistical analysis, predictive modeling, visualization, and machine learning is critical. This data analytics training certification equips you with both theoretical understanding and practical capabilities.
Here’s how we ensure you gain maximum benefit from the data analytics classes online:
Our instructors have years of experience with top MNCs, giving you real-world insights. The data analytics certification online provides practical exposure to industry scenarios, helping you excel in analytics roles.
The data analytics course covers Excel, SQL, Python, AI Data Analytics, R, Power BI, and Tableau. From data collection to predictive modeling, you’ll be prepared to handle diverse analytics projects. This is why we’re known for delivering the best data analytics training in the market.
The 6-month internship included in our data analytics classes allows you to work on live projects, building job-ready skills employers seek in candidates with the data analytics classes online.
We provide mock interviews, resume optimization, LinkedIn profile enhancements, and one-on-one coaching—everything needed to succeed after completing your course.
Our certification is respected by leading employers worldwide, ensuring your skills stand out in the competitive market.
1. Live Online Classes – Interactive, instructor-led data analytics online sessions that combine theoretical concepts with practical demonstrations. Learn directly from experienced trainers while engaging in real-time discussions.
2. Practical Assignments & Case Studies – Data analytics online module includes exercises based on real-world scenarios. You’ll analyze datasets, create dashboards, and apply tools to solve practical business problems.
3. 6-Month Internship – Gain industry exposure through our data analytics program internship, where you work on live projects to build real-world experience and strengthen your portfolio.
4. Personalized Career Assistance – Our data analytics classes include resume building, LinkedIn profile optimization, and mock interviews to help you stand out in the job market.
5. Certification – Receive a data analytics certification from StarAgile upon completion, recognized globally and valued by top employers.
