Course Design By
Nasscom & Wipro
Understand real-world applications of data analytics.
Interpret and communicate data insights properly.
Solve business issues using analytics.
Use data-driven decision-making.
Learn to organize, clean, and analyze data professionally.
Master Excel data manipulation.
Know SQL for maximum data extraction.
Code in Python or R to run complex analysis.
Create data visualization that beautifully communicates findings.
Be introduced to machine learning basics for predictive analytics.
Practice using real company data sets to have a hands-on learning experience.
Get ready to work in data analytics jobs.
Data preprocessing and data cleaning methods.
SQL queries to extract effective data.
Statistical training to analyze datasets.
Automation using programming and higher-level analysis.
Interactive dashboard and report building.
Forecasting using basic machine learning models.
Communication and collaboration skills for a business setting.
Excel for data input, formula, and pivot tables.
SQL for database data manipulation.
Python/R for programming and data analysis.
Tableau and Power BI for visualization.
Brief on big data concepts.
Overview of cloud platforms for processing and storing data.
Applications of libraries that are unique to data science.
Fresh graduates wishing to pursue data careers.
Career professionals wishing to upskill.
Career transitioners transitioning into data analysis.
Business staff wishing to make sense of data.
Commerce, science, or arts students.
Individuals who have a passion for data and technology.
Individuals who desire to gain programming and statistics basics.
Enhance career prospects across different disciplines.
Develop analytical capabilities useful in everyday business problems.
Master data-driven decision-making.
Enhance self-confidence in presenting challenging data graphically.
Prepare for certification and better job interviews.
Master industry software and technology.
Enhance career development and career progression.
Entry-level professional job roles: Reporting Analyst, Data Analyst.
Mid-level professional job roles: Business Intelligence Analyst, Data Scientist.
Risk analysis, sales forecasting, marketing analytics specialty fields.
Jobs in banking, health, retail, IT sectors.
Opportunity to work as analytics managers or team leaders.
Contract and freelance project assignments are also available.
International employment opportunities in data intensive business.
Basics of Data and Statistics.
Microsoft Excel for general and intermediate purposes.
SQL querying and database administration.
Python or R programming basics.
Data visualization using Tableau/Power BI.
Introduction to machine learning and big data.
Final project with end-to-end data analysis.
Understand real-world applications of data analytics.
Interpret and communicate data insights properly.
Solve business issues using analytics.
Use data-driven decision-making.
Learn to organize, clean, and analyze data professionally.
Master Excel data manipulation.
Know SQL for maximum data extraction.
Code in Python or R to run complex analysis.
Create data visualization that beautifully communicates findings.
Be introduced to machine learning basics for predictive analytics.
Practice using real company data sets to have a hands-on learning experience.
Get ready to work in data analytics jobs.
Data preprocessing and data cleaning methods.
SQL queries to extract effective data.
Statistical training to analyze datasets.
Automation using programming and higher-level analysis.
Interactive dashboard and report building.
Forecasting using basic machine learning models.
Communication and collaboration skills for a business setting.
Excel for data input, formula, and pivot tables.
SQL for database data manipulation.
Python/R for programming and data analysis.
Tableau and Power BI for visualization.
Brief on big data concepts.
Overview of cloud platforms for processing and storing data.
Applications of libraries that are unique to data science.
Fresh graduates wishing to pursue data careers.
Career professionals wishing to upskill.
Career transitioners transitioning into data analysis.
Business staff wishing to make sense of data.
Commerce, science, or arts students.
Individuals who have a passion for data and technology.
Individuals who desire to gain programming and statistics basics.
Enhance career prospects across different disciplines.
Develop analytical capabilities useful in everyday business problems.
Master data-driven decision-making.
Enhance self-confidence in presenting challenging data graphically.
Prepare for certification and better job interviews.
Master industry software and technology.
Enhance career development and career progression.
Entry-level professional job roles: Reporting Analyst, Data Analyst.
Mid-level professional job roles: Business Intelligence Analyst, Data Scientist.
Risk analysis, sales forecasting, marketing analytics specialty fields.
Jobs in banking, health, retail, IT sectors.
Opportunity to work as analytics managers or team leaders.
Contract and freelance project assignments are also available.
International employment opportunities in data intensive business.
Basics of Data and Statistics.
Microsoft Excel for general and intermediate purposes.
SQL querying and database administration.
Python or R programming basics.
Data visualization using Tableau/Power BI.
Introduction to machine learning and big data.
Final project with end-to-end data analysis.
Understand real-world applications of data analytics.
Interpret and communicate data insights properly.
Solve business issues using analytics.
Use data-driven decision-making.
Learn to organize, clean, and analyze data professionally.
Master Excel data manipulation.
Know SQL for maximum data extraction.
Code in Python or R to run complex analysis.
Create data visualization that beautifully communicates findings.
Be introduced to machine learning basics for predictive analytics.
Practice using real company data sets to have a hands-on learning experience.
Get ready to work in data analytics jobs.
Data preprocessing and data cleaning methods.
SQL queries to extract effective data.
Statistical training to analyze datasets.
Automation using programming and higher-level analysis.
Interactive dashboard and report building.
Forecasting using basic machine learning models.
Communication and collaboration skills for a business setting.
Excel for data input, formula, and pivot tables.
SQL for database data manipulation.
Python/R for programming and data analysis.
Tableau and Power BI for visualization.
Brief on big data concepts.
Overview of cloud platforms for processing and storing data.
Applications of libraries that are unique to data science.
Fresh graduates wishing to pursue data careers.
Career professionals wishing to upskill.
Career transitioners transitioning into data analysis.
Business staff wishing to make sense of data.
Commerce, science, or arts students.
Individuals who have a passion for data and technology.
Individuals who desire to gain programming and statistics basics.
Enhance career prospects across different disciplines.
Develop analytical capabilities useful in everyday business problems.
Master data-driven decision-making.
Enhance self-confidence in presenting challenging data graphically.
Prepare for certification and better job interviews.
Master industry software and technology.
Enhance career development and career progression.
Entry-level professional job roles: Reporting Analyst, Data Analyst.
Mid-level professional job roles: Business Intelligence Analyst, Data Scientist.
Risk analysis, sales forecasting, marketing analytics specialty fields.
Jobs in banking, health, retail, IT sectors.
Opportunity to work as analytics managers or team leaders.
Contract and freelance project assignments are also available.
International employment opportunities in data intensive business.
Basics of Data and Statistics.
Microsoft Excel for general and intermediate purposes.
SQL querying and database administration.
Python or R programming basics.
Data visualization using Tableau/Power BI.
Introduction to machine learning and big data.
Final project with end-to-end data analysis.
we train you to get hired.
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
Stories
success
inspiration
career upgrade
career upgrade
career upgrade
career upgrade
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
in Collaboration with
Empowering Learning Through Real Experiences and Innovation
we train you to get hired.
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+91-971 152 6942Get a peek through the entire curriculum designed that ensures Placement Guidance
Course Design By
Course Offered By
Ready to streamline Your Process? Submit Your batch request today!

Highest Salary Offered
Average Salary Hike
Placed in MNC’s
Year’s in Training
fast-tracked into managerial careers.
Get inspired by their progress in the
Career Growth Report.
FOR QUERIES, FEEDBACK OR ASSISTANCE
Best of support with us
For Voice Call
+91-971 152 6942For Whatsapp Call & Chat
+91-9711526942
