Diploma in Data Analytics
6 Months Program
Fascinated by how data influences our world? Curious about how insights are derived from data? You’re in the right place! At Edure, we believe everyone should have the opportunity to learn and grow. That’s why we’ve designed this course. Our Data Analytics Course is an engaging, interactive way to delve into the world of data analytics. Whether you’re a beginner or returning to education after a break, don’t worry. We start with the basics and support you throughout your learning journey. You’ll learn to clean, analyse, and interpret data, enabling you to make informed decisions and accurate predictions.
Early Booking Available
Program Duration: 6 Months Program
15-30 hours per week
Flipped Classroom
Learning Format
Diploma in Data Analytics - Overview
Edure’s Comprehensive Data Analytics Course, your stepping stone to mastering the science of data analytics. Our curriculum is meticulously designed to cover key areas such as Data Cleaning, Data Visualization, Statistical Analysis, Machine Learning, Python, R, SQL, and Tableau. This course is a perfect blend of foundational knowledge and practical skills, aimed at equipping you with the expertise to excel in the dynamic field of data analytics. Whether you’re a beginner or a professional looking to upskill, our course offers a learning path tailored to your needs. Our Data Analytics Course is meticulously designed to cover every aspect of data analytics. From understanding the basics of data cleaning to mastering advanced concepts like machine learning and predictive modeling, our curriculum ensures a holistic understanding of the subject.
Course Specialities
- Industry-Recognized Certification:
Earn a certification from Edure upon successful completion of the course. This certification is a testament to your skills and knowledge, recognized by top companies worldwide.
- Continuous Learning:
Learning doesn’t stop with course completion. We provide you with access to course materials and updates even after you’ve completed the course. This ensures that your knowledge stays updated with the latest trends and advancements.
- Hands-On Learning:
Our courses emphasise practical learning. You’ll work on real-world projects and case studies, gaining hands-on experience in your chosen field.
- Expert Faculty:
Learn from industry veterans who bring their real-world experiences into the classroom, enriching your learning journey.
- Flexible Learning Options:
Choose from a variety of learning modes – online, offline, or blended – to suit your unique learning style and time constraints.
- Career Support:
Benefit from our extended support which includes interview preparation, resume building, and job placement assistance.
Let us contact you:
Or You can directly call us:
+91 97462 11123
Our courses are designed to ensure you gain technical proficiency, receive support, and get placement assistance for a successful transition into the professional landscape. Whether you’re a beginner or an experienced professional, our courses will enhance your skills and make you industry-ready
Testimonials
Why Choose Us?
Edure’s professional programs prioritise project-based learning, offering numerous benefits for aspiring professionals across various fields. Recognizing that theoretical knowledge alone is insufficient in today’s rapidly evolving industries, our courses emphasise hands-on experience and real-world application of skills.
Flipped Classroom Learning:
Transform your learning experience with Edure’s Flipped Classroom model. Access pre-recorded sessions at your convenience, revisit materials as needed, and foster an environment conducive to effective self-paced learning.
Project-Based Learning:
Reinforce your theoretical knowledge through hands-on application with our Project-Based Learning approach. Engage in real-world projects and gain practical skills crucial in the dynamic industry of your choice.
Live Interactive E-Learning:
Experience dynamic and engaging education with Edure’s Live Interactive E-Learning. Participate in real-time discussions in our integrated classrooms and enhance your understanding through interactive sessions conducted by experienced instructors.
Doubt Clearing Sessions:
Edure prioritises student success with dedicated Doubt Clearing Sessions. Seek clarification in real-time or access recorded sessions outside of class hours, ensuring a supportive and collaborative learning environment.
Pre-Placement Training:
Stand out in the competitive job market with Edure’s comprehensive Pre-Placement Training. Equip yourself with essential skills and insights to enhance employability and bridge the gap between education and professional readiness.
Internship Opportunity:
Go beyond theoretical learning with Edure’s valuable Internship Opportunities. Apply your acquired skills in real-world scenarios, supplement your academic knowledge, and ensure a holistic and industry-relevant education.
Whether you’re just starting out or looking to upskill, our courses are designed to equip you with the skills you need to excel in your chosen field. Join us at Edure and start your journey towards becoming an industry-ready professional.
Certification
Certificate of Completion
- Professional Validation: A certificate from our course serves as tangible proof of your proficiency in the field, validating your skills and expertise.
- Career Advancement: Showcase your commitment to staying current with industry trends and technologies. This enhances your resume for potential job opportunities and career advancement in your chosen field.
- Client Confidence: Displaying a certificate from our course instills confidence in clients and employers. It assures them of your ability to deliver robust and reliable solutions using the skills and knowledge you've gained from the course.
Excited to learn??
JOB ROLES
As the demand for data analytics professionals continues to grow, individuals with expertise in this field have a wide array of career opportunities across various industries and job roles in the ever-evolving field of data science. Individuals who have studied data analytics can pursue various rewarding career options in the field of data science. Here are some career paths:
These roles underscore the diverse career paths available to individuals with data analytics expertise, ranging from specialised roles like Data Scientist or Data Engineer to leadership positions such as Data Analytics Manager or Business Intelligence Director. The versatility of data analytics skills allows professionals to explore various avenues within the dynamic field of data science and business intelligence. The power of data-driven decision making is recognized across industries, making data analytics a highly sought-after skill. Join us and start your journey in the exciting world of data analytics.
Data Analyst:
Analyze and interpret complex data to help companies make business decisions.
Data Scientist:
Use statistical tools and machine learning techniques to interpret data and solve complex problems.
Data Engineer:
Design, build, and maintain the data architecture of a company.
Business Analyst:
Use data to provide insights into business operations and suggest methods to improve.
Data Analytics Consultant:
Provide analytics solutions to businesses, helping them make data-driven decisions.
Operations Analyst:
Use data to help businesses operate more efficiently and effectively.
Marketing Analyst:
Use data to measure and analyze market trends and marketing strategies.
Market Research Analyst:
Use data to help companies understand what products people want, who will buy them, and at what price.
Big Data Analyst:
Work with large amounts of data to uncover hidden patterns, correlations, and other insights.
Data Visualization Specialist:
Use graphical representations of data to help people understand complex data sets.
Business Intelligence Analyst:
Use data to gain insights into business operations and suggest areas of improvement.
Data Analytics Manager:
Oversee a team of data analysts and ensure that the data analysis methods used are sound and reliable.
Healthcare Data Analyst:
Specialize in analyzing data in the healthcare sector to improve patient care and outcomes.
Supply Chain Analyst:
Use data to optimize operations in the supply chain.
Risk Analyst:
Use data to identify and evaluate areas of potential risk in a company’s operations.
Fraud Analyst:
Use data to detect fraudulent activities within an organization.
OUR STUDENTS WORK AT
At Edure, our commitment to excellence is reflected in the impressive list of organizations where our students have found fulfilling placements.
Diploma in Data Analytics Course Details
The Data Analytics course is a meticulously designed program that provides a deep dive into the world of data analytics. It covers essential areas such as Statistical Analysis, Python for data manipulation and analysis, Machine Learning for predictive modeling, SQL for database querying, Tableau for data visualization, and Git and GitHub for version control. Additionally, it introduces you to Big Data technologies like Hadoop and Spark. This course offers a balanced mix of theoretical knowledge and practical skills, preparing you to excel in the ever-evolving field of data analytics. It caters to both beginners seeking foundational knowledge and professionals aiming to enhance their skills, offering a learning path that is customised to fit your needs.
- Module 1: Microsoft Excel:
- In this module, participants will explore fundamental concepts of data analysis, centering on Microsoft Excel. The journey begins with an introduction to data and its analysis process, covering the basics of Excel, including working with templates. The progression includes exploring data, studying Excel functions, and understanding various function types, such as Common, String, Logical, Numerical, and Date & Time functions. Participants will develop proficiency in Vlookup and Hlookup, conditional selection, and logical operators. The module extends its coverage to encompass critical Excel features like Power Query for efficient data importing and transformation, Power Pivot for advanced data modelling, and macros in Visual Basic for Application (VBA) for automation. Additionally, participants will learn about data validation, what-if analysis, and solving linear optimization problems using Excel Solver. This segment aims to advance participants' skills in Microsoft Excel, providing a comprehensive understanding of data analysis tools and techniques.
What you will Learn
- Module 2: Microsoft PowerBI
- Over the course of this advanced program, participants will embark on a comprehensive journey into Microsoft Power BI Desktop. The syllabus unfolds, covering crucial aspects of data analysis. Topics include data connection strategies, Power Query Editing, and the utilization of M functions for effective data manipulation. Participants will learn to leverage grouping and binnings, explore aggregation techniques, and master merging and appending queries. The program delves into essential concepts such as data modelling, table relationships, and various filtering methods. As the days progress, participants gain proficiency in advanced topics like Drill Down and Drill Through Filters, Data Analysis Expression (DAX) functions, and the creation of charts and visuals for effective data representation. The program culminates with a focus on creating interactive dashboards, preparing summary reports, and exploring specialized visualizations like Power BI Q&A, Key Influencer visuals, and Time Series Analysis.
- Module 3: SQL for Data Analytics
- In this extensive SQL program, participants undergo a comprehensive exploration of database management and SQL. The curriculum begins with an introduction to data in the 21st century and the installation of essential SQL software. Participants progress through foundational topics, including the purpose and significance of databases, basic SQL queries, and functions like SELECT, AS, and CONCAT. Advanced concepts cover filtering data, logical operators, IS Keyword, BETWEEN + AND, IN, LIKE, and DATE Functions. The program explores JOIN operations, GROUP BY, HAVING, ORDER BY, GROUPING SETS, UNION, UNION ALL, ROLL UP, and WINDOW functions. Further exploration encompasses conditional statements, NULLIF, VIEWS, subqueries, stored procedures, and WITH CTE. Practical aspects of database creation, data types, Boolean type, storage methods, and manipulation operations like INSERT, UPDATE, DELETE, DROP, and ALTER are covered. The program concludes with discussions on database design methodologies, ER models, primary and foreign keys, and relationship determination. Throughout this program, participants acquire comprehensive skills in SQL, empowering them to proficiently design and manage databases.
- Module 4: Tableau for Data Analytics
- In this extensive Tableau program, participants embark on a comprehensive journey into the realm of data visualization. The curriculum covers fundamental concepts such as connecting to data sources, creating visualizations, and cleaning and shaping data. As participants progress, they delve into advanced techniques, including the creation of calculated fields, blending data from diverse sources, and crafting a variety of charts, from basic to advanced types. The program explores the nuances of building groups, hierarchies, and specialized visualizations like maps and geospatial analyses. Focusing on dashboards, stories, and the publishing process, the program concludes by addressing collaborative features, security considerations, and permissions within Tableau. This holistic approach equips participants with a robust skill set for leveraging Tableau effectively in data visualization and analysis.
- Module 5: Data Analytics with Python
- In this module, participants will gain a solid foundation in Python programming for data analytics. Beginning with an introduction to Python and its marketplace, the curriculum covers Anaconda environment setup and practical exercises using Jupyter Notebook. Participants will progress through fundamental Python concepts such as syntax, variables, data types, operators, and conditional statements. The module extends to more advanced topics like loops, inbuilt and user-defined functions, object-oriented programming, file handling, error handling, and working with modules and libraries. Practical application includes creating GUI applications with Tkinter.
Skills and Tools you will learn
- Excel
- Power BI
- SQL
- Python
- Tableau
Upcoming Batches and Events
Monday to Friday – 10:00 AM – 1:00 PM (IST)
Saturday 10:00 AM – 1:00 PM (IST)
- Course Fee: INR 55000+ Taxes ( Limited Time Deal for the upcoming Batches )
- Easy EMI:INR 60000
- 100% Money-Back Guarantee: If you do not like our course, you can claim a 100% money return after your first session.
- Certification Fee: Price included an exam and IIMSKILLS certification fees.
- Group Discount: 10% group discount on 3 or more registration.
Testimonials
Diploma in Data Analytics Training Process
1
Registration
Upon successful registration, gain access to our course, including pre-reading materials and a guide on setting up your learning environment.
Select Your Batch
Choose from our flexible batch options, with both weekday and weekend schedules available. Tailor your learning to a day that suits your preferences, and feel free to switch batches if needed.
2
Induction
Engage in an informative induction session to familiarise yourself with the course methodologies, structure, and expectations. Get insights into the dynamic world of your chosen field.
3
Weekly Assignment
Enhance your hands-on experience with daily assignments that reinforce the concepts covered in live classes. Apply your learning immediately and receive feedback to strengthen your understanding.
4
Attendance
Maintain a minimum attendance in live classes to qualify for the course certification. Recorded sessions are available for flexibility, ensuring that your progress is accounted for.
5
Mock Interview
Participate in mock interviews designed to simulate real-world scenarios. Gain valuable experience, receive constructive feedback, and sharpen your interview skills in preparation for professional opportunities.
6
Projects
Immerse yourself in real-world projects that challenge and reinforce your skills. Apply theoretical knowledge to practical scenarios, building a robust portfolio to showcase your expertise to potential employers.
7
Monthly Awards
Stand out and be recognized for your achievements with monthly awards. Celebrate excellence, innovation, and dedication within the course community.
8
Pre-Placement Training
Receive specialised pre-placement training to refine your technical and soft skills. Prepare for interviews, enhance your resume, and gain a competitive edge in the job market.
9
Placement Support
Benefit from our dedicated placement support services. Schedule interviews with top organisations seeking professionals in your field, leveraging our network and reputation in the industry.
10
Getting Placed
Post-completion of the course, unlock various career paths: secure a full-time position, establish your own agency, pursue freelancing opportunities, or leverage your new skills to enhance your existing business.
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1
2
3
4
Registration
Upon successful registration, gain access to our course, including pre-reading materials and a guide on setting up your learning environment.
Select Your Batch
Choose from our flexible batch options, with both weekday and weekend schedules available. Tailor your learning to a day that suits your preferences, and feel free to switch batches if needed.
Induction
Engage in an informative induction session to familiarise yourself with the course methodologies, structure, and expectations. Get insights into the dynamic world of your chosen field.
Weekly Assignment
Enhance your hands-on experience with daily assignments that reinforce the concepts covered in live classes. Apply your learning immediately and receive feedback to strengthen your understanding.
5
6
7
8
Attendance
Maintain a minimum attendance in live classes to qualify for the course certification. Recorded sessions are available for flexibility, ensuring that your progress is accounted for.
Mock Interview
Participate in mock interviews designed to simulate real-world scenarios. Gain valuable experience, receive constructive feedback, and sharpen your interview skills in preparation for professional opportunities.
Projects
Immerse yourself in real-world projects that challenge and reinforce your skills. Apply theoretical knowledge to practical scenarios, building a robust portfolio to showcase your expertise to potential employers.
Monthly Awards
Stand out and be recognized for your achievements with monthly awards. Celebrate excellence, innovation, and dedication within the course community.
9
10
11
Pre-Placement Training
Receive specialised pre-placement training to refine your technical and soft skills. Prepare for interviews, enhance your resume, and gain a competitive edge in the job market.
Placement Support
Benefit from our dedicated placement support services. Schedule interviews with top organisations seeking professionals in your field, leveraging our network and reputation in the industry.
Getting Placed
Post-completion of the course, unlock various career paths: secure a full-time position, establish your own agency, pursue freelancing opportunities, or leverage your new skills to enhance your existing business.
Who can Learn
This Data Analytics course is designed for aspiring data analysts, recent graduates, and professionals seeking to enhance their expertise in modern data analytics. It is ideal for:
- Beginners in Data Analytics:
Individuals with little to no prior experience in data analytics who aspire to build a strong foundation in data science.
- Professionals in Related Fields:
Professionals in fields such as mathematics, computer science, statistics, etc., looking to expand their skill set and transition into data analytics by gaining proficiency in analytical methodologies and tools.
- Data Enthusiasts:
Individuals with a knack for numbers, problem-solving, and a keen interest in deciphering patterns and insights from data.
- Career Switchers:
Professionals from diverse backgrounds aspiring to switch to a rewarding career in Data Analytics and capitalise on the high demand for data analysts.
- Entrepreneurs and Start-up Enthusiasts:
Entrepreneurs and start-up enthusiasts looking to independently analyze, validate, and manage data, fostering self-reliance in their ventures.
- Tech Enthusiasts and Innovators:
Individuals passionate about technology and innovation, eager to explore and implement cutting-edge solutions in the dynamic landscape of data analytics.
Whether you’re a beginner with a passion for data, a seasoned professional looking to diversify your skill set, or an entrepreneur aiming to take control of your data projects, this course is designed to empower and benefit a diverse range of learners in the pursuit of becoming proficient data analysts.