Data Analytics Training
What you'll learn
- Learn Python for data cleaning, analysis, automation, and visualization.
- Learn to use libraries like Pandas, NumPy, and Matplotlib.
- Use R to perform statistical analysis, data modeling, and advanced analytics
- Create dynamic dashboards, data models, and reports to turn raw data into actionable insights.
- Design professional, interactive visualizations and dashboards used by data analysts worldwide.
- Handle missing data, outliers, data transformation, and ETL processes for accurate analysis.
- Make great presentations using Bar charts, Scatter Plots, Histograms etc.
- Work with advanced Excel tools including Pivot Tables, Power Query, Power Pivot, formulas, dashboards, and automation techniques.
- Master SQL queries, joins, subqueries, functions, and database design to extract and analyze data efficiently.
- Learn Alteryx for data blending, automation, predictive analytics, and workflow optimization.
- Translate data into meaningful insights using charts, dashboards, and presentation techniques.
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Work on real-world datasets and analytics projects to build a strong job-ready portfolio.
Our Training Process

Practical Session

Assignment

Projects

Resume Building

Interview Preparation

Be Job Ready

Practical Session

Assignment

Projects

Be Job Ready

Interview Preparation

Resume Building
Key Highlights
- Personalised career coach
- 90% Practical Training
- Official Certification
- Live Projects
- Study material
- Instant doubt solving
- Case studies and Projects

175 Hrs
Training Duration

25000+
Students Trained

1000+
Hiring Companies

8.5 LPA
Highest Fresher Salary
Data Analytics Training
- Introduction
- String manipulation
- Data structures
- Control loops
- Functions
- Object oriented programming
- Modules and packages
- Graphical user interface (GUI)
- Exception & file handling
- Variables
- Pep8
- Pandas & NumPy
- Scikit Learn library
- Lambada function
- Advanced concepts
- API & Project
- Introduction to Data Science
- Introduction to Machine Learning
- Alteryx Installation
- In/Out tools
- Data Preparation
- Join data from different sources
- Factors
- Data frames
- Filtering, sorting and grouping
- Spatial analysis
- Transform tools
- Parse tools
- Reporting tools
- Workflow optimization and automation
- Fundamentals of R
- Vectors
- Matrics & arrays
- Lists
- Factors
- Data frames
- Programming structures
- Working with strings
- Multivariate data visualization
- Apply family
- Tableau basics
- Connecting Tableau to a Data File – CSV File
- Exporting Worksheet
- Joining Data in Tableau
- Maps, scatterplots & your first dashboard
- Downloading the Dataset and Connecting to Tableau
- Joining and blending data
- Dual axis charts
- Table calculations, advanced dashboards, storytelling
- Advanced data preparation
- Introduction
- Power BI Desktop overview
- Connecting and shaping data with Power BI Desktop
- Power Query Editor (data cleaning)
- Creating table relationships and data models in Power BI
- Analyzing data with DAX calculations in Power BI
- Visualizing data with Power BI reports
- Report design and layout
- Power BI Service
- Row-level security
- Artificial intelligence (AI) visuals
- Real world projects
- Introduction to MySQL
- Creating Database and Tables
- Inserting data
- MySQL Warnings, Null and NOT_NULL
- Crud commands
- SELECT, WHERE, AND, OR, UPDATE, DELETE, DISTINCT, IN-NOT IN
- String functions
- Using SUBSTRING, REPLACE, REVERSE, CHAR LENGTH
- Changing Case with UPPER and LOWER
- Basic database terminology
- Relational Database and Relational Schemas.
- Primary Key, Foreign Key, Unique Key and Null values.
- Mysql constraints
- Aggregate functions
- MySQL stored procedure
- Calling a Procedure
- Compound Statement, Label Statement, and Declare Statement
- Procedure Parameters
- Statements: If, Case, Iterate, Leave, Loop, Repeat, Return, While, Cursor
- Access Control for Stored Programs.
- Industry oriented Projects
- Introduction
- Assigning macros to buttons and objects
- Visual basic editor
- Editing Macros
- The range object
- Workbook & Running code
- Object, properties and Methods
- Using visual basics functions
- Building formulate control structures
- Vlookup formulas
- Xlookup formulas
- Dashboarding with pivot tables
- Event handling
- Controls, dialogue box and forms
- Dashboarding with pivot tables
- Control structures
- Customer Segmentation
- Recommender System
- Build Dashboard
Master 35+ Paid tools, including AI Powered Platforms
Skills you will gain
Course Certification
This certificate serves as an official badge of your successful Data Analytics training course completion, highlighting your expertise.
Students Reviews
Ayush Rana
Data Analyst
Genuine reviews for our Data Analytics Training
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Data Analyst
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Data Analyst
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Data Analyst
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Data Analyst
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Data Analyst
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Data Analyst
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Ranjan Prajapati
Data Analyst
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Student's Portfolio
Success Stories
Frequently Asked Questions (FAQs)
What is the duration of the course?
Total duration of Data Analytics training course is approximately 5-6 months. Throughout the course, you will receive hands-on practical training in each technology, with a focus on completing real-world projects.
Is there 100% Placement Guarantee after the course is over?
We provide 100% Placement Guarantee in our Data Analytics training course in Mumbai.
Are there any prerequisites before starting Data Analytics Training?
No, anyone can learn Data Analytics training course in Mumbai.
Who teaches Data Analytics?
At TryCatch, our team consists of seasoned experts with over 16+ years of experience. A skilled Data Analyst will be guiding students, encouraging them to ask questions without hesitation, and enabling us to effortlessly address all your inquiries.
Is the course Online or Offline?
This Data Analytics training course is available offline & online both. You may choose whatever is feasible for you.
Offline course can be done at our Borivali Branch in Mumbai.
Online Live Course can be done on Zoom or Google Meet.
Who can learn Data Analytics?
This course is designed for everyone, even if you’re studying Commerce, Arts, or Mechanical subjects, or if you’re still in school. It doesn’t matter what your background is, you can definitely learn this course.
Do I need prior experience in Data Analytics?
No, prior experience is not required. This course is designed to cater to both beginners and those with some background in Data Analytics.
What software and tools do I need for this course?
All the tools required for this training will be installed during the course.
Will I receive a certificate upon course completion?
Upon completion of the course, you will receive an official global Data Analytics Certificate. This certificate serves as an official badge of your successful course completion, highlighting your expertise.
Can I interact with instructors and ask questions during the course?
Absolutely! Our instructors are always available to answer all your questions and solve your doubts.
Are there any real-world projects or case studies in the course?
Yes, we incorporate real-world projects and case studies into the course to help you apply what you’ve learned in practical scenarios.
Is there a money-back guarantee if I’m not satisfied with the course?
We offer a satisfaction guarantee. If you are not satisfied with the course within a specified timeframe, you can request a refund.
Shoutout from Arjun Kapoor
and Vidya Balan
Here's everything you're going to get

- 100% Job Placement Guarantee
- Easy-to-follow modules
- Study Materials
- Tutorials
- Interview Q&A Library
- Mock Interviews
- Industry Oriented LIVE Projects
- Access to Private Jobs Group
INSIGHTS








