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.

COURSE FEE
Amount Rs. 55000
(Incl. taxes)
ENROLL NOW
Let us contact you:
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+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.

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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
certificate
  • 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.

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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:

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.

Sports Analyst:

Use data to evaluate player performance, devise game strategies, and scout new talent in sports teams.

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.

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.

What you will Learn

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

Offline Batch - 01 July 2024

Monday to Friday - 10:00 AM - 1:00 PM (IST)

Online Batch - 01 July 2024

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.

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Projects

Project 1:
Email Marketing Analysis

Email marketing analysis in Power BI involves leveraging the Power BI tool to analyze and derive insights from a dataset containing information about subscribers to an email newsletter. With a dataset of 10,000 records encompassing various patterns and constraints like physical features, locations, and subscriber status, Power BI can help perform in-depth analysis for email marketing purposes.

Project 2:
Bank Customer Analysis

Analysing a bank customer dataset to identify trends and determine the characteristics of potential target customers is a valuable approach to optimize marketing strategies and increase account sign-ups. .By systematically analysing the bank customer dataset and extracting actionable insights, banks can optimize their efforts to attract and engage potential customers who are more likely to sign up for bank accounts.

Project 3:
Covid Dashboard

A COVID dashboard in Excel is a tool used to visualize and analyze data related to the COVID-19 pandemic. It typically includes various charts, tables, and graphs that present key information about cases, deaths, recoveries, testing, and other relevant statistics.

Project 4:
Ride Cancellation Rate

This project involves analyzing the cancellation rate for ride requests, specifically those involving users who are not banned, using two tables: "trips" and "users". By analyzing cancellation trends, the aim is to understand the dynamics and potentially improve the ride experience, thus reducing cancellation rates

Project 5:
Tic Tac Toe Project

The project results in a functional console-based Tic Tac Toe game where players can compete against each other, taking turns marking the grid until there's a winner or a tie. The game provides an interactive experience allowing players to practice strategy and logical thinking within the confines of the classic Tic Tac Toe game rules.

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.

2
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.

3
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.

4
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
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.

6
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.

7
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.

8
Monthly Awards

Stand out and be recognized for your achievements with monthly awards. Celebrate excellence, innovation, and dedication within the course community.

9
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.

10
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.

11
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.

This comprehensive training process ensures that participants not only gain technical proficiency in their chosen field but also receive support, recognition, and placement assistance for a successful transition into the professional landscape.

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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:

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.

To successfully study the Data Analytics course, participants should meet the following minimum requirements:

These minimum requirements ensure that participants have the foundational knowledge and resources needed to engage effectively with the course content and successfully complete the Data Analytics program.

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Frequently Asked Questions

Data Analytics involves the systematic examination, cleansing, transformation, and modeling of data with the goal of uncovering valuable insights, drawing meaningful conclusions, and facilitating informed decision-making.

The course is ideal for beginners in Data Analytics, professionals in related fields, career switchers, software engineers, entrepreneurs, and tech enthusiasts. It's also suitable for anyone with a passion for data and a desire to learn more about data analysis.

Participants should have basic mathematical and statistical knowledge, computer literacy, and a commitment to learning. Hardware requirements include a reliable computer or laptop with a minimum of 8GB RAM and a dual-core processor.

After completing the course, you can pursue careers as a Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, or in any role that requires data analysis skills.

The duration of the course can vary depending on the curriculum and the individual's pace of learning. Typically, it can range from a few weeks for short-term courses to a few months for comprehensive programs.

While not always necessary, having programming knowledge, particularly in languages like Python or R, can be beneficial in data analytics as it allows for more flexibility in data manipulation and analysis.