IN HIGH DEMAND
Data Analytics Internship Program
Become A Skilled Data Analyst Professional in 3 Months and Build Your Very Own Portfolio to Attract Employers.
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
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IN HIGH DEMAND
DATA ANALYTICS INTERNSHIP PROGRAM
Become a Skilled Data Analyst Professional in 3 Months and build your very own Portfolio to attract Employers.
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
IN HIGH DEMAND
DATA ANALYTICS INTERNSHIP PROGRAM
Become a Skilled Data Analyst Professional in 3 Months and build your very own Portfolio to attract Employers.
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
Upskill with Data Analytics Internship Program
Our Practical Learning Approach helps you learn the most in-demand tech skills from Experienced Industry Experts in 100% Live Interactive Sessions.
Highest Course Completion Rate
Our Learners course completion rate is above 80%.
Lifetime Course Access
Enjoy lifetime access to complete course content.
Join Community of Talents
Continues career support and job opportunities after joining Ummatore Talents Network
24/7 Live Support
Dedicative Live Support System to promote learning.
Upskill with Data Analytics Internship Program
Highest Course Completion Rate
Our Learners course completion rate is above 80%.
Lifetime Course Access
Enjoy lifetime access to complete course content.
Join Community of Talents
Continues career support and job opportunities after joining Ummatore Talents Network
24/7 Live Support
Dedicative Live Support System to promote learning.
Upskill with Data Analytics Internship Program
Highest Course Completion Rate
Lifetime Course Access
Highest Course Completion Rate
Lifetime Course Access
Enroll in a Free Data Analytics Internship Course
- Learn about Data Analytics in Detail
- Complete the Demo Course & get a Certificate of Completion
Data Analytics Internship Program Details
- Live Instructor-Led Session
- Know Data Analytics Job Opportunities
- Details on Projects & Technologies
- Learn about Fees & Exciting Offers
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
Enroll in Free Data Analytics Internship Demo Course
- Learn about Data Analytics in Detail
- Complete the Demo & Earn a Certificate of Completion
Data Analytics Internship Program Details
- Live Instructor-Led Session
- Know Data Analytics Job Opportunities
- Details on Projects & Technologies
- Learn about Fees & Exciting Offers
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
Exciting industry trends
About Data Analytics
Jobs Opportunities
As the amount of data available to businesses increases, so too does the demand for skilled data analysts to process and interpret it.
The detail
Data analysts are in high demand across many industries, such as business, finance, healthcare, education, and government.
Learn More
High Salary
According to different sources, the average salary for a data analyst in the United States in 2024 ranges from $66,859 to $106,500
The detail
However, the average salary for a data analyst can vary depending on several factors
Learn More
Growth
The Data Analyst growth rate was 31% from 2019 to 2029, much faster than the average for all occupations.
The detail
Data analysts are in high demand across many industries, such as business, finance, healthcare, education, and government.
Learn More
Exciting industry trends
About Data Analytics
As the amount of data available to businesses increases, so too does the demand for skilled data analysts to process and interpret it. Read More...
Job Opportunities 
According to different sources, the average salary for a data analyst in the United States in 2024 ranges from $66,859 to $106,500. Read More...
High Salary 
The Data Analyst growth rate was 31% from 2019 to 2029, much faster than the average for all occupations. Read More...
Growth 
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Why Learn data Analytics?
Why learn Data Analytics?
- Companies like Deloitte, PWC, EY, Amazon, and AWS are hiring for Data Analyst Professionals.
- Boost your career with high demand and lucrative opportunities in various industries.
- Data Analytics is an evergreen field as it adds great value to businesses and plays a major role in decision-making.
- Have fun with data and unleash your creativity and curiosity.
- Companies like Deloitte, PWC, EY, Amazon, and AWS are hiring for Data Analyst Professionals.
- Boost your career with high demand and lucrative opportunities in various industries.
- Data Analytics is an evergreen field as it adds great value to businesses and plays a major role in decision-making.
- Have fun with data and unleash your creativity and curiosity.
Turn Data Into insight
Become a professional Data Analyst by enrolling into our carefully curated Data Analytics Internship Program and stand a chance to become an Ummatore Super Intern by the end of the Internship Training.
Turn Data Into insight
Become a professional Data Analyst by enrolling into our carefully curated Data Analytics Internship Program and stand a chance to become an Ummatore Super Intern by the end of the Internship Training.
Some of the Technologies and Tools you will learn
Some of the Technologies and Tools you will learn
Some of the Technologies and Tools you will learn
Super Intern Certificate
To be awarded to interns who perform the best. They also stand a chance to be teaching assistants.
Ummatore Internship Certificate
To be awarded to everyone irrespective of performance.
Course Completion Certificate
To be awarded to everyone irrespective of performance.
Interns will be awarded a Certificate of Completion for each course successfully completed during the Internship Program.
- Enroll Now For Free
- Limited Time offer
Super Intern Certificate
To be awarded to interns who perform the best. They also stand a chance to be teaching assistants.
Ummatore Internship Certificate
To be awarded to everyone irrespective of performance.
Course Completion Certificate
To be awarded to everyone irrespective of performance.
Data Analytics Internship Program Curriculum
Elective Courses - Prerequisite
Overview:
In this course, you will learn the basics of Python, one of the most widely used and versatile programming languages in the world. You will learn how to use Python to perform various tasks such as data analysis, and more. You will also learn how to use Python libraries such as NumPy and Pandas to work with numerical and tabular data.
Topics:
- Why Python Programming
- Data types and Operators
- Data Structures
- Control Flow
- Functions
- Scripting
- NumPy
- Pandas
Overview:
In this course, you will learn the fundamentals of SQL, the standard language for querying and manipulating data in relational databases. You will learn how to use SQL to create, read, update, and delete data, as well as how to join, filter, group, and aggregate data. You will also learn how to use SQL to perform complex analysis and calculations on data.
Topics:
- Introduction to SQL and Relational Databases
- SQL Syntax and Data Types
- SQL Queries and Statements
- SQL Functions and Operators
- SQL Joins and Subqueries
- SQL Aggregation and Grouping
- SQL Analysis and Case Studies
Overview:
In this course, you will learn how to use Git and GitHub, the most popular tools for version control and collaboration in data analysis. You will learn how to use Git to track and manage changes to your code, and how to use GitHub to share and review code with others. You will also learn how to use Git and GitHub to work on projects with teams, and how to handle common scenarios such as branching, merging, and resolving conflicts.
Topics:
- What is Version Control
- Create A Git Repo
- Review a Repo’s history
- Add Commits to a Repo
- Tagging, Branching, and Merging
- Undoing Changes
Core Courses
Overview:
In this course, you will learn the basics of data analysis using Python. You will learn how to use Jupyter notebooks to write and run Python code, and how to use NumPy and pandas to work with data structures such as arrays, series, and dataframes. You will also learn how to explore and inspect data, manipulate data using pandas and NumPy, and communicate your results using tables and charts.
Topics:
- The Data Analysis Process
- Jupyter Notebooks
- Exploring and Inspecting Data
- Manipulating Data using Pandas and NumPy
- Communicating Results
- Course Project: Analyze a Dataset of Your Choice.
Overview:
In this course, you will learn how to deal with raw and messy data, and how to turn it into a clean and tidy format that is ready for analysis. You will learn the three phases of data wrangling: gathering data from various sources, assessing data for quality and tidiness issues, and cleaning data using Python. You will also learn how to document your data wrangling process and code, and how to test your data for accuracy and completeness.
Topics:
- Introduction to Data Wrangling
- Gathering Data
- Assessing Data
- Cleaning Data
- Real World Data Wrangling with Python Project: Wrangle and Analyze Data of Your Choice
Overview:
In this course, you will learn how to use Python libraries matplotlib and seaborn to create stunning and informative visualizations that can help you communicate your data analysis results. You will learn how to apply the principles of data visualization design, and how to explore and explain data using different types of charts and plots. You will also learn how to create data stories that can engage and persuade your audience.
Topics:
- Data Visualization in Data Analysis
- Design of Visualizations
- Univariate Exploration of Data
- Bivariate Exploration of Data
- Multivariate Exploration of Data
- Explanatory Visualizations
- Communicate Data Findings Project: Create a Data Story Based on a Dataset of Your Choice.
Internship/ Career Services - bonuses
Overview:
In this course, you will learn how to set realistic and achievable goals for your job search, and how to deal with the challenges and uncertainties that you may face along the way. You will also learn how to measure your progress and success, and how to adjust your strategies and expectations as needed.
Topics:
- Setting SMART Goals for Your Job Search
- Understanding the Data Analyst Job Market
- Dealing with Rejection and Feedback
- Celebrating Your Achievements and Learning from Your Failures
- Staying Motivated and Resilient
Overview:
In this course, you will learn how to craft a compelling and concise elevator pitch that can showcase your skills, experience, and passion as a data analyst. You will also learn how to tailor your pitch to different audiences and situations, and how to deliver it with confidence and enthusiasm.
Topics:
- What is an Elevator Pitch and Why is it Important
- The Elements of a Good Elevator Pitch
- Writing and Practicing Your Elevator Pitch
- Adapting Your Elevator Pitch to Different Scenarios
- Presenting Your Elevator Pitch with Style and Impact
Overview:
In this course, you will learn how to create and maintain professional and attractive digital profiles that can help you build your online presence and reputation as a data analyst. You will also learn how to use different platforms and tools to showcase your portfolio, network with others, and find opportunities.
Topics:
- The Importance of Digital Profiles for Data Analysts
- Creating and Updating Your LinkedIn Profile
- Creating and Updating Your GitHub Profile
- Resume and Cover Letter
- Using Social Media and Online Communities to Promote Yourself and Your Work
Overview:
In this course, you will learn the basics of artificial intelligence (AI) and how it relates to data analysis. You will also learn how to use some common AI tools and techniques to enhance your data analysis projects, and how to keep up with the latest trends and developments in the field.
Topics:
- What is AI and How is it Different from Data Analysis
- AI Applications and Use Cases for Data Analysis
- AI Tools and Techniques for Data Analysis
- AI Ethics and Challenges for Data Analysis
- AI Resources and Learning Opportunities for Data Analysis
Data Analytics Internship Admission Process
A live-instructor led session highlighting the course and current job opportunities
- Enroll for free demo course
- Complete the free demo course
- Sign-up for the program
- Start learning & building your product
Enroll in the Free Course and get a Certificate of Completion!
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
Data Analytics Internship Program Curriculum
Elective Courses - Prerequisite
Overview:
In this course, you will learn the basics of Python, one of the most widely used and versatile programming languages in the world. You will learn how to use Python to perform various tasks such as data analysis, and more. You will also learn how to use Python libraries such as NumPy and Pandas to work with numerical and tabular data.
Topics:
- Why Python Programming
- Data types and Operators
- Data Structures
- Control Flow
- Functions
- Scripting
- NumPy
- Pandas
Overview:
In this course, you will learn the fundamentals of SQL, the standard language for querying and manipulating data in relational databases. You will learn how to use SQL to create, read, update, and delete data, as well as how to join, filter, group, and aggregate data. You will also learn how to use SQL to perform complex analysis and calculations on data.
Topics:
- Introduction to SQL and Relational Databases
- SQL Syntax and Data Types
- SQL Queries and Statements
- SQL Functions and Operators
- SQL Joins and Subqueries
- SQL Aggregation and Grouping
- SQL Analysis and Case Studies
Overview:
In this course, you will learn how to use Git and GitHub, the most popular tools for version control and collaboration in data analysis. You will learn how to use Git to track and manage changes to your code, and how to use GitHub to share and review code with others. You will also learn how to use Git and GitHub to work on projects with teams, and how to handle common scenarios such as branching, merging, and resolving conflicts.
Topics:
- What is Version Control
- Create A Git Repo
- Review a Repo’s history
- Add Commits to a Repo
- Tagging, Branching, and Merging
- Undoing Changes
Core Courses
Overview:
In this course, you will learn the basics of data analysis using Python. You will learn how to use Jupyter notebooks to write and run Python code, and how to use NumPy and pandas to work with data structures such as arrays, series, and dataframes. You will also learn how to explore and inspect data, manipulate data using pandas and NumPy, and communicate your results using tables and charts.
Topics:
- The Data Analysis Process
- Jupyter Notebooks
- Exploring and Inspecting Data
- Manipulating Data using Pandas and NumPy
- Communicating Results
- Course Project: Analyze a Dataset of Your Choice.
Overview:
In this course, you will learn how to deal with raw and messy data, and how to turn it into a clean and tidy format that is ready for analysis. You will learn the three phases of data wrangling: gathering data from various sources, assessing data for quality and tidiness issues, and cleaning data using Python. You will also learn how to document your data wrangling process and code, and how to test your data for accuracy and completeness.
Topics:
- Introduction to Data Wrangling
- Gathering Data
- Assessing Data
- Cleaning Data
- Real World Data Wrangling with Python Project: Wrangle and Analyze Data of Your Choice
Overview:
In this course, you will learn how to use Python libraries matplotlib and seaborn to create stunning and informative visualizations that can help you communicate your data analysis results. You will learn how to apply the principles of data visualization design, and how to explore and explain data using different types of charts and plots. You will also learn how to create data stories that can engage and persuade your audience.
Topics:
- Data Visualization in Data Analysis
- Design of Visualizations
- Univariate Exploration of Data
- Bivariate Exploration of Data
- Multivariate Exploration of Data
- Explanatory Visualizations
- Communicate Data Findings Project: Create a Data Story Based on a Dataset of Your Choice.
Internship/ Career Services - bonuses
Overview:
In this course, you will learn how to set realistic and achievable goals for your job search, and how to deal with the challenges and uncertainties that you may face along the way. You will also learn how to measure your progress and success, and how to adjust your strategies and expectations as needed.
Topics:
- Setting SMART Goals for Your Job Search
- Understanding the Data Analyst Job Market
- Dealing with Rejection and Feedback
- Celebrating Your Achievements and Learning from Your Failures
- Staying Motivated and Resilient
Overview:
In this course, you will learn how to craft a compelling and concise elevator pitch that can showcase your skills, experience, and passion as a data analyst. You will also learn how to tailor your pitch to different audiences and situations, and how to deliver it with confidence and enthusiasm.
Topics:
- What is an Elevator Pitch and Why is it Important
- The Elements of a Good Elevator Pitch
- Writing and Practicing Your Elevator Pitch
- Adapting Your Elevator Pitch to Different Scenarios
- Presenting Your Elevator Pitch with Style and Impact
Overview:
In this course, you will learn how to create and maintain professional and attractive digital profiles that can help you build your online presence and reputation as a data analyst. You will also learn how to use different platforms and tools to showcase your portfolio, network with others, and find opportunities.
Topics:
- The Importance of Digital Profiles for Data Analysts
- Creating and Updating Your LinkedIn Profile
- Creating and Updating Your GitHub Profile
- Resume and Cover Letter
- Using Social Media and Online Communities to Promote Yourself and Your Work
Overview:
In this course, you will learn the basics of artificial intelligence (AI) and how it relates to data analysis. You will also learn how to use some common AI tools and techniques to enhance your data analysis projects, and how to keep up with the latest trends and developments in the field.
Topics:
- What is AI and How is it Different from Data Analysis
- AI Applications and Use Cases for Data Analysis
- AI Tools and Techniques for Data Analysis
- AI Ethics and Challenges for Data Analysis
- AI Resources and Learning Opportunities for Data Analysis
Data Analytics Internship Program Curriculum
[ Elective Courses - Prerequisite ]
Overview:
In this course, you will learn the basics of Python, one of the most widely used and versatile programming languages in the world. You will learn how to use Python to perform various tasks such as data analysis, and more. You will also learn how to use Python libraries such as NumPy and Pandas to work with numerical and tabular data.
Topics:
- Why Python Programming
- Data types and Operators
- Data Structures
- Control Flow
- Functions
- Scripting
- NumPy
- Pandas
Overview:
In this course, you will learn the fundamentals of SQL, the standard language for querying and manipulating data in relational databases. You will learn how to use SQL to create, read, update, and delete data, as well as how to join, filter, group, and aggregate data. You will also learn how to use SQL to perform complex analysis and calculations on data.
Topics:
- Introduction to SQL and Relational Databases
- SQL Syntax and Data Types
- SQL Queries and Statements
- SQL Functions and Operators
- SQL Joins and Subqueries
- SQL Aggregation and Grouping
- SQL Analysis and Case Studies
Overview:
In this course, you will learn how to use Git and GitHub, the most popular tools for version control and collaboration in data analysis. You will learn how to use Git to track and manage changes to your code, and how to use GitHub to share and review code with others. You will also learn how to use Git and GitHub to work on projects with teams, and how to handle common scenarios such as branching, merging, and resolving conflicts.
Topics:
- What is Version Control
- Create A Git Repo
- Review a Repo’s history
- Add Commits to a Repo
- Tagging, Branching, and Merging
- Undoing Changes
[ Core Courses ]
Overview:
In this course, you will learn the basics of data analysis using Python. You will learn how to use Jupyter notebooks to write and run Python code, and how to use NumPy and pandas to work with data structures such as arrays, series, and dataframes. You will also learn how to explore and inspect data, manipulate data using pandas and NumPy, and communicate your results using tables and charts.
Topics:
- The Data Analysis Process
- Jupyter Notebooks
- Exploring and Inspecting Data
- Manipulating Data using Pandas and NumPy
- Communicating Results
- Course Project: Analyze a Dataset of Your Choice.
Overview:
In this course, you will learn how to deal with raw and messy data, and how to turn it into a clean and tidy format that is ready for analysis. You will learn the three phases of data wrangling: gathering data from various sources, assessing data for quality and tidiness issues, and cleaning data using Python. You will also learn how to document your data wrangling process and code, and how to test your data for accuracy and completeness.
Topics:
- Introduction to Data Wrangling
- Gathering Data
- Assessing Data
- Cleaning Data
- Real World Data Wrangling with Python Project: Wrangle and Analyze Data of Your Choice
Overview:
In this course, you will learn how to use Python libraries matplotlib and seaborn to create stunning and informative visualizations that can help you communicate your data analysis results. You will learn how to apply the principles of data visualization design, and how to explore and explain data using different types of charts and plots. You will also learn how to create data stories that can engage and persuade your audience.
Topics:
- Data Visualization in Data Analysis
- Design of Visualizations
- Univariate Exploration of Data
- Bivariate Exploration of Data
- Multivariate Exploration of Data
- Explanatory Visualizations
- Communicate Data Findings Project: Create a Data Story Based on a Dataset of Your Choice.
[ Internship/ Career Services ]
Overview:
In this course, you will learn how to set realistic and achievable goals for your job search, and how to deal with the challenges and uncertainties that you may face along the way. You will also learn how to measure your progress and success, and how to adjust your strategies and expectations as needed.
Topics:
- Setting SMART Goals for Your Job Search
- Understanding the Data Analyst Job Market
- Dealing with Rejection and Feedback
- Celebrating Your Achievements and Learning from Your Failures
- Staying Motivated and Resilient
Overview:
In this course, you will learn how to craft a compelling and concise elevator pitch that can showcase your skills, experience, and passion as a data analyst. You will also learn how to tailor your pitch to different audiences and situations, and how to deliver it with confidence and enthusiasm.
Topics:
- What is an Elevator Pitch and Why is it Important
- The Elements of a Good Elevator Pitch
- Writing and Practicing Your Elevator Pitch
- Adapting Your Elevator Pitch to Different Scenarios
- Presenting Your Elevator Pitch with Style and Impact
Overview:
In this course, you will learn how to create and maintain professional and attractive digital profiles that can help you build your online presence and reputation as a data analyst. You will also learn how to use different platforms and tools to showcase your portfolio, network with others, and find opportunities.
Topics:
- The Importance of Digital Profiles for Data Analysts
- Creating and Updating Your LinkedIn Profile
- Creating and Updating Your GitHub Profile
- Resume and Cover Letter
- Using Social Media and Online Communities to Promote Yourself and Your Work
Overview:
In this course, you will learn the basics of artificial intelligence (AI) and how it relates to data analysis. You will also learn how to use some common AI tools and techniques to enhance your data analysis projects, and how to keep up with the latest trends and developments in the field.
Topics:
- What is AI and How is it Different from Data Analysis
- AI Applications and Use Cases for Data Analysis
- AI Tools and Techniques for Data Analysis
- AI Ethics and Challenges for Data Analysis
- AI Resources and Learning Opportunities for Data Analysis
Data Analytics Internship Admission Process
A live-instructor led session highlighting the course and current job opportunities
- Enroll for free demo course
- Complete the free demo course
- Sign-up for the program
- Start learning & building your product
Complete the Free Demo Course and get a Certificate of Completion!
Data Analytics Internship Admission Process
A live-instructor led session highlighting the course and current job opportunities
- Enroll in this demo course
- Complete the free demo course
- Sign-up for the program
- Start learning & building your product
Complete the Free Demo Course and get a Certificate of Completion!
- Enroll Now For Free
- Limited Time offer
Days
Hours
Minutes
Seconds
Frequently Asked Questions
Anyone interested in learning Data Analytics and want to kick start their career in the Data science field can join the program.
There are no prerequisites to join the program.You can join even if you have zero programming knowledge. We will be teaching you everything from level 0.
This Data Analytics Internship Program is 100% Online with Live Instructor-led sessions. We offer our learners a complete hands-on Internship Like Experience.
The content for this Data Analytics Internship course is carefully curated by Technology Specialists, Data scientists and Engineering Managers based on their experience of developing several successful products and on their experience of mentoring a team of Data Analysts.
Thanks to their years of experience and domain knowledge, these professionals have installed all the key concepts in an easily understandable format in this single course.
Based on their experience in Data Analytics, they have chosen the most important concepts that are fundamental to become a top Data Analyst, and crack interviews in top tech companies.
This Data Analytics Internship program will follow a similar training structure as followed by top tech companies to train their Data Analysts and will also cover important details from their interviews.
You will need to give at least 2 hours every day or at least 16 hours every week to do well in this course. This includes attending 6 to 8-hour live instructor-led classes every week and attending 1 hour Peer Learning session once every week.
No. You will only get an Ummatore Internship Certificate if you complete the project within the timeline. We will give you adequate time, required guidance, and help to complete the project, but if you still fail, you will not get a Course Completion Certificate.
Yes. If you fully participated and stay to the end of the class, you will get a Certificate of Participation of the Free Class.
The Ummatore Super Intern certificate will only be given to learners who complete the project within the set timeline, help other learners and work with them as a team, and come up with innovative ideas during the internship course.
This is an internship program. After the completion of this Data Analytics Internship program, we do not guarantee any paid internship or full-time offer with Ummatore or any other organization. However, in this program, we will guide you on how to get a paid internship or a full-time offer. We may refer you as well if there’s a suitable opening in Ummatore or any of its partner hiring companies.
For any queries, you can write to us at internship@ummatore.com
Frequently Asked Questions
Anyone interested in learning Data Analytics and want to kick start their career in the Data science field can join the program.
There are no prerequisites to join the program.You can join even if you have zero programming knowledge. We will be teaching you everything from level 0.
This Data Analytics Internship Program is 100% Online with Live Instructor-led sessions. We offer our learners a complete hands-on Internship Like Experience.
The content for this Data Analytics Internship course is carefully curated by Technology Specialists, Data scientists and Engineering Managers based on their experience of developing several successful products and on their experience of mentoring a team of Data Analysts.
Thanks to their years of experience and domain knowledge, these professionals have installed all the key concepts in an easily understandable format in this single course.
Based on their experience in Data Analytics, they have chosen the most important concepts that are fundamental to become a top Data Analyst, and crack interviews in top tech companies.
This Data Analytics Internship program will follow a similar training structure as followed by top tech companies to train their Data Analysts and will also cover important details from their interviews.
You will need to give at least 2 hours every day or at least 16 hours every week to do well in this course. This includes attending 6 to 8-hour live instructor-led classes every week and attending 1 hour Peer Learning session once every week.
No. You will only get an Ummatore Internship Certificate if you complete the project within the timeline. We will give you adequate time, required guidance, and help to complete the project, but if you still fail, you will not get a Course Completion Certificate.
Yes. If you fully participated and stay to the end of the class, you will get a Certificate of Participation of the Free Class.
The Ummatore Super Intern certificate will only be given to learners who complete the project within the set timeline, help other learners and work with them as a team, and come up with innovative ideas during the internship course.
This is an internship program. After the completion of this Data Analytics Internship program, we do not guarantee any paid internship or full-time offer with Ummatore or any other organization. However, in this program, we will guide you on how to get a paid internship or a full-time offer. We may refer you as well if there’s a suitable opening in Ummatore or any of its partner hiring companies.
For any queries, you can write to us at internship@ummatore.com
Frequently Asked Questions
Anyone interested in learning Data Analytics and want to kick start their career in the Data science field can join the program.
There are no prerequisites to join the program.You can join even if you have zero programming knowledge. We will be teaching you everything from level 0.
This Data Analytics Internship Program is 100% Online with Live Instructor-led sessions. We offer our learners a complete hands-on Internship Like Experience.
The content for this Data Analytics Internship course is carefully curated by Technology Specialists, Data scientists and Engineering Managers based on their experience of developing several successful products and on their experience of mentoring a team of Data Analysts.
Thanks to their years of experience and domain knowledge, these professionals have installed all the key concepts in an easily understandable format in this single course.
Based on their experience in Data Analytics, they have chosen the most important concepts that are fundamental to become a top Data Analyst, and crack interviews in top tech companies.
This Data Analytics Internship program will follow a similar training structure as followed by top tech companies to train their Data Analysts and will also cover important details from their interviews.
You will need to give at least 2 hours every day or at least 16 hours every week to do well in this course. This includes attending 6 to 8-hour live instructor-led classes every week and attending 1 hour Peer Learning session once every week.
No. You will only get an Ummatore Internship Certificate if you complete the project within the timeline. We will give you adequate time, required guidance, and help to complete the project, but if you still fail, you will not get a Course Completion Certificate.
Yes. If you fully participated and stay to the end of the class, you will get a Certificate of Participation of the Free Class.
The Ummatore Super Intern certificate will only be given to learners who complete the project within the set timeline, help other learners and work with them as a team, and come up with innovative ideas during the internship course.
This is an internship program. After the completion of this Data Analytics Internship program, we do not guarantee any paid internship or full-time offer with Ummatore or any other organization. However, in this program, we will guide you on how to get a paid internship or a full-time offer. We may refer you as well if there’s a suitable opening in Ummatore or any of its partner hiring companies.
For any queries, you can write to us at internship@ummatore.com
Internship Objective
To prepare interns for a career as a data analyst by teaching them how to organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings using Python and its data analysis libraries.
Quick Links
Contact Us
-
NITDA Community IT Center
Dukku, Gombe State. Nigeria - +234 810 6999 069
- internship@ummatore.com
Quick Links
Contact Us
-
NITDA Community IT Center
Dukku, Gombe State. Nigeria - +234 810 6999 069
- internship@ummatore.com
Quick Links
Contact Us
-
NITDA Community IT Center
Dukku, Gombe State. Nigeria - +234 810 6999 069
- internship@ummatore.com