Nashik | Data Analytics Course Training Institute & Certification Exam Center

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Explore our Data Analytics Course in WebAsha Technologies Nashik, designed to equip you with essential skills in data analysis, visualization, and interpretation. Learn to harness the power of tools like Excel, SQL, and Tableau to extract insights from data. Ideal for aspiring analysts and professionals, this course offers hands-on training with real-world projects, preparing you for impactful roles in business intelligence and data-driven decision-making. Embark on a journey to master data analytics techniques and advance your career in Nashik's thriving data industry.

Data Analytics Course Training Key Features

What our students talks about us. If you were student of WebAsha and wants to share your thought about us, kindly mail or call us.

Course Duration : 2 Months

Real Time Projects : 2

Hands-on Training

Full Day Lab Access

Certification & Job Assistance

Post Training Support

World's Biggest Data Analytics Cloud Labs

Hands-on experience with real-world cloud environments to build job-ready skills.

24/7 access to cloud labs, enabling learning anytime, anywhere.

Zero downtime.

Practice across multiple cloud platforms, including AWS, Azure, and Google Cloud.

Instant scalability and resources to match real-world cloud infrastructure.

Expert-guided labs with industry-relevant scenarios for comprehensive learning.

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Nashik | Data Analytics Training Classes Calender

Start Date Training Mode Enroll Status
Nov 13, 2024
10:00 - 13:00 (IST)
Classroom/Online
Weekdays/Weekend
Enrollment Open
Nov 21, 2024
13:00 - 16:00 (IST)
Classroom/Online
Weekdays/Weekend
Enrollment Open
Nov 03, 2024
14:00 - 17:00 (IST)
Classroom/Online
Weekdays/Weekend
Enrollment Close
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Classroom / Online Data Analytics Course Training Overview

Our Data Analytics Course in Nashik offers comprehensive training in data analysis techniques, tools, and applications essential for today's data-driven industries. Learn to analyze, interpret, and visualize data using industry-standard tools such as Excel, SQL, and Tableau. Through practical, hands-on projects and case studies, you'll gain proficiency in data manipulation, statistical analysis, and data visualization. This course is designed to prepare you for roles in business intelligence, data analysis, and decision support.

Prerequisite

To enroll in the Data Analytics Course:
  1. Educational Background:
    • A basic understanding of mathematics and statistics is recommended.
    • No specific degree is required, but a background in fields such as Computer Science, Mathematics, Economics, or Business can be advantageous.
  2. Technical Skills:
    • Familiarity with using computers and basic software applications.
    • Basic knowledge of Microsoft Excel for data manipulation and analysis is beneficial.
  3. Analytical Skills:
    • Strong analytical and problem-solving skills are essential to interpret data and derive insights.
  4. Eagerness to Learn:
    • A passion for working with data and the motivation to acquire new skills in data analytics.
  5. Communication Skills:
    • Good verbal and written communication skills to effectively present and communicate insights derived from data.
By meeting these prerequisites, you'll be well-prepared to dive into our Data Analytics Course and develop the skills necessary to succeed in the field of data analytics.

Course Syllabus

Module 1: Introduction to Data Analytics

  • Overview of data analytics and its applications in business
  • Introduction to tools and software used in data analytics
  • Understanding the role of a data analyst in decision-making processes

Module 2: Data Manipulation and Cleaning

  • Data types and data formats
  • Data cleaning techniques and data quality assessment
  • Using Excel for data manipulation and cleaning

Module 3: Data Visualization

  • Principles of data visualization
  • Choosing the right chart types for data representation
  • Creating visualizations using Excel and Tableau

Module 4: Statistical Analysis

  • Descriptive statistics: measures of central tendency and dispersion
  • Inferential statistics: hypothesis testing and confidence intervals
  • Practical applications of statistical analysis in data analytics

Module 5: Introduction to SQL

  • Basics of SQL (Structured Query Language)
  • Querying databases to extract and manipulate data
  • Performing data aggregation and joining tables

Module 6: Introduction to Python for Data Analysis (Optional)

  • Basics of Python programming language
  • Data manipulation and analysis with pandas library
  • Visualizing data using matplotlib and seaborn libraries

Module 7: Data Analytics Tools and Techniques

  • Advanced Excel techniques for data analysis (pivot tables, macros)
  • Introduction to business intelligence tools (Power BI, Google Data Studio)

Module 8: Machine Learning Fundamentals (Introduction)

  • Overview of machine learning concepts
  • Supervised vs. unsupervised learning
  • Introduction to predictive analytics and machine learning algorithms

Module 9: Case Studies and Real-World Projects

  • Applying data analytics techniques to real-world datasets
  • Solving business problems through data-driven decision-making
  • Presenting findings and recommendations based on data analysis

Module 10: Capstone Project

  • Design and complete a comprehensive data analytics project
  • Showcase your skills in data manipulation, visualization, and analysis
  • Present your findings and insights to peers and instructors

Module 11: Career Development and Job Readiness

  • Resume building and LinkedIn profile optimization
  • Interview preparation and mock interviews
  • Networking strategies and job placement assistance
Note: **The topics said above are only the short blueprint of the syllabus. On the off chance that you feel that we have missed any subject, you can simply come to us and learn it, or simply call us to affirm

Call at 8010911256 | 8485846227 WebAsha Provides Best Online [Live Interactive Class] / Calssroom with practical based hands-on Data Analytics Training and Certification in Pune and near by area. Get Course Details, Certification Cost, Fees, Syllabus, Duration, Batch Timings, Exam Preparation, workshops in Pune, Mumbai, Delhi NCR, Noida, Gurugram (Gurgaon), Hyderabad, Bengaluru (Bangalore), India, UK, USA, UAE, Dubai, Singapore, and Australia

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Mode of Training

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E-learning
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Instructed Led
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Bootcamp
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Training on Demand

Data Analytics Classroom Training

  • Interactive Learning: Participate in face-to-face sessions with experienced instructors, facilitating real-time interaction and immediate feedback.
  • Hands-On Experience: Engage in practical exercises and lab sessions to enhance your hands-on skills.
  • Collaborative Environment: Benefit from the collaborative environment where you can network and work with peers.
  • State-of-the-Art Facilities: Access to advanced training facilities and resources.

Online Data Analytics Training

  • Flexible Schedule: Learn at your own pace from the comfort of your home or office, fitting the course around your personal and professional commitments.
  • Live Sessions: Attend live, instructor-led sessions that provide the same quality of training as in the classroom.
  • Accessibility: Access training materials and resources anytime, anywhere with a stable internet connection.

Data Analytics Corporate Training

  • Customized Content: : Tailored training programs designed to meet your organization’s specific needs and goals.
  • On-Site Training:: Instructors can come to your business location, providing training in a familiar and convenient setting.
  • Skill Enhancement:: Equip your team with the latest skills and knowledge to stay competitive in the industry.
  • Team Building:: Foster a collaborative learning environment that promotes team building and knowledge sharing among employees.
  • Flexible Delivery: : Options for both classroom and online training to suit your company’s schedule and preferences.

Data Analytics Session Recordings

Whether you choose classroom, online, or corporate training, you will receive recordings of each session of Data Analytics Course on our Learning Management System (LMS) . This allows you to:

  • Revise at Your Convenience: Review the recorded sessions at any time to reinforce your understanding of the topics covered.
  • Catch Up on Missed Content: If you miss a session, you can easily catch up by watching the recording.
  • Flexible Learning: Revisit challenging concepts and sections as many times as needed, ensuring a thorough grasp of the material.

At WebAsha Technologies, we are committed to providing you with a seamless and effective and best learning experience of Data Analytics Course, tailored to your needs and schedule.

Trainer Profile

Our Trainers explains concepts in very simple and smooth to understand his language, so the candidates can analyze in a totally effective way. We offer students, complete freedom to explore the subject. We train you concepts based on real-time examples. Our trainers assist the candidates in finishing their projects or even prepare them for interview questions and answers. Candidates can learn in our one to one training classes and are free to ask any questions at any time.
Companies who have been benefited with his experience & knowledge Atos, Cloud reach, IBM, Samsung R&D, Wipro, Dell, HPE, GE, JP Morgan, Wells Fargo, RBS, Vodafone, Airtel, Nokia, Ericsson, Accenture, Capgemini and many more
  • They have More than 10+ years of experience in Linux and related technologies.
  • Our Trainers are expert level and completely up-to- date in the subjects they teach because they continue to spend time working on real- world industry applications.
  • Our Trainers have Experienced on multiple real- time Industries related projects
  • He Trained more than 1000+ Students in a year.
  • He's certified Professionals with High Grade
  • Having Strong Theoretical & Practical Knowledge.

Data Analytics Certification Bootcamp

Data Analytics

Our Data Analytics Bootcamp in Nashik is a rigorous and immersive training program designed to equip participants with the essential skills and knowledge required to excel in the field of data analytics. Whether you're new to the industry or looking to advance your career, this bootcamp covers a comprehensive range of topics from data manipulation and visualization to statistical analysis and machine learning fundamentals.
Key Features:
  1. Comprehensive Curriculum:
    • Learn industry-relevant tools such as Excel, SQL, Tableau, and optional Python for data analysis and visualization.
    • Gain hands-on experience through real-world projects and case studies.
  2. Expert-Led Instruction:
    • Benefit from guidance provided by experienced data analysts and industry professionals.
    • Receive practical insights into current trends and best practices in data analytics.
  3. Practical Projects:
    • Apply learned skills to real-world datasets, solving business challenges and gaining practical experience.
  4. Career Development:
    • Enhance your job prospects with resume building, interview preparation, and networking opportunities.
    • Benefit from our job placement assistance and 100% job guarantee upon successful completion.
  5. Flexibility:
    • Choose between in-person sessions at our Mumbai location or participate online, accommodating diverse learning preferences and schedules.
Bootcamp Content:
  • Foundations of Data Analytics: Introduction to data analytics, tools, and software used in the industry.
  • Data Manipulation and Cleaning: Techniques for preparing and cleaning data for analysis.
  • Data Visualization: Principles of effective data visualization using Excel, Tableau, and other tools.
  • Statistical Analysis: Understanding and applying statistical techniques to draw meaningful insights from data.
  • Introduction to SQL: Querying databases to extract and manipulate data for analysis.
  • Optional: Introduction to Python for Data Analysis: Basics of Python programming and its application in data analysis.
  • Machine Learning Fundamentals: Overview of machine learning concepts and algorithms used for predictive analytics.
Capstone Project:
  • Undertake a comprehensive data analytics project from start to finish, showcasing your skills in data manipulation, visualization, and analysis.
Prerequisites:
  • Basic understanding of mathematics and statistics.
  • Familiarity with using computers and software applications.
  • Eagerness to learn and a passion for working with data.
By completing our Data Analytics Bootcamp, you'll acquire the practical skills and industry expertise needed to pursue rewarding careers as a Data Analyst, Business Analyst, or Data Scientist, contributing to data-driven decision-making and business success.

Our Recent Certified Candidates

Real Exam Format and Information

  • Multiple-choice exam of 100 marks.
  • You need to acquire 70+ marks to clear the exam.
  • If you fail, free re-examination attempt with 15 days from the date of 1st exam attempt.

Data Analytics Training & Global Certification Benefits | Job Profiles | Salary Range

Benefits of Completing a Data Analytics Course

  1. High-Demand Skills: Acquire proficiency in data manipulation, visualization, and analysis using industry-standard tools like Excel, SQL, and Tableau, essential for roles in data analytics.
  2. Hands-On Experience: Gain practical experience through real-world projects and case studies, applying learned skills to solve business problems and make data-driven decisions.
  3. Career Advancement: Unlock opportunities in diverse sectors such as finance, healthcare, marketing, and more, with potential roles as Data Analysts, Business Analysts, or Data Scientists.
  4. Expert Guidance: Learn from experienced instructors and industry experts who provide mentorship and insights into current trends and best practices in data analytics.
  5. Job Placement Support: Benefit from our job placement assistance and 100% job guarantee upon successful completion of the course, including resume building and interview preparation.
  6. Networking Opportunities: Connect with peers, mentors, and industry professionals through workshops, seminars, and networking events, expanding your professional network.
  7. Flexibility: Choose between in-person or online learning options, accommodating different schedules and preferences for optimal learning experience.

Job Roles for Data Analytics Course Graduates

  1. Data Analyst: Analyze and interpret data to uncover insights and trends, supporting strategic business decisions.
  2. Business Analyst: Use data to identify opportunities for improvement, optimize processes, and drive operational efficiencies.
  3. Financial Analyst: Analyze financial data and forecasts to guide investment decisions and financial planning.
  4. Marketing Analyst: Utilize data to measure campaign performance, customer behavior, and market trends for targeted marketing strategies.
  5. Healthcare Analyst: Analyze patient data, clinical outcomes, and healthcare trends to improve patient care and operational efficiency in healthcare settings.
  6. Operations Analyst: Optimize supply chain management, logistics, and resource allocation using data-driven insights to improve operational efficiency.
  7. Consultant: Offer specialized expertise in data analytics to businesses seeking to optimize performance, improve decision-making processes, and drive growth.
Completing a Data Analytics Course equips you with the skills and knowledge to thrive in today's data-driven world, making you a valuable asset to organizations across various industries.

How does WebAsha Technologies Placement Work?

Mock Interviews

  • Enhance your interview preparation and performance by participating in our Mock Interviews at WebAsha Technologies. Gain the confidence to excel in real-life job interviews with the guidance of our expert team.
  • If you feel uncertain about interview environments, rest assured that our team will familiarize you with different scenarios, enabling you to showcase your skills under any level of pressure.
  • Our Mock Interviews are conducted by industry experts who possess extensive years of experience. Their insights and expertise will significantly improve your chances of securing a job in the real world.
WebAsha Technologies Placement

Projects

  • Projects: Validate your skills and knowledge by working on industry-based projects that feature real-time use cases. Obtain hands-on expertise in top IT skills, becoming industry-ready through our project works and assessments.
  • Our projects align perfectly with the curriculum's modules and are selected based on the latest industry standards. Enhance your resume with meaningful project work, capturing the attention of top industries and opening doors to lucrative salary opportunities.
  • Join our Mock Interviews program today and elevate your interview skills to new heights, paving the way for a successful career.

To See thousands of 100% Genuine WebAsha Placement Testimonials

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Data Analytics Recent Reviews

Data Analytics Reviews

Data Analytics FAQ

  • What is the purpose of Data Analytics training?

    The purpose of Data Analytics training is to educate individuals about the techniques and tools used for analyzing and interpreting data, and to provide them with the knowledge and skills necessary to make informed decisions based on data.
  • What are the benefits of learning Data Analytics?

    The benefits of learning Data Analytics include the ability to extract insights and make informed decisions from data, the ability to solve complex problems, and the ability to work with large, complex datasets.
  • What are the prerequisites for Data Analytics training?

    The prerequisites for Data Analytics training vary depending on the level of the course, but generally, a basic understanding of mathematics, statistics, and programming is necessary.
  • What are the key topics covered in Data Analytics training?

    The key topics covered in Data Analytics training include data visualization, descriptive statistics, inferential statistics, data cleaning, data transformation, and data exploration.
  • How long does it take to learn Data Analytics?

    The time it takes to learn Data Analytics varies depending on the individual's level of education, work experience, and their time availability for the preparation. It can take anywhere from a few weeks to several months to become proficient in Data Analytics.
  • What are the best resources to learn Data Analytics?

    The best resources to learn Data Analytics include online tutorials, books, and video courses, interactive coding challenges and practice, and community support.
  • What are the common use cases of Data Analytics?

    The common use cases of Data Analytics include customer segmentation, market research, sales analysis, and financial analysis.
  • What are the most popular tools and technologies used in Data Analytics?

    The most popular tools and technologies used in Data Analytics include Excel, R, Python, SQL, Tableau, and Power BI.
  • What are the common mistakes made by Data Analytics beginners?

    Common mistakes made by Data Analytics beginners include not understanding the data, not understanding the problem, not understanding the evaluation metric, and not understanding the assumptions of the model.
  • What are some of the best practices for working with data in Data Analytics?

    Some of the best practices for working with data in Data Analytics include data cleaning, data transformation, and data exploration.
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WebAsha FAQ(Frequently Asked Questions)

  • Why Should I Learn this Course from WebAsha Technologies in Pune?

    • Learn from basic to advance level.
    • Project and Case study.
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    • Flexible Training Schedule- Courses can be delivered at your chosen convenient time.
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    Call now: +91-848584 7920 | 848584 6227 and know the exciting offers on classroom or Global Certification Exam, available for you!

  • Does WebAsha Technologies Offer Placement Assistance After Course Completion?

    Webasha Technologies is the Legend in offering placement to the students. You can visit our Placed Students List on our website. 90% students placed through our direct reference of our alumni. quite 1500+ students placed in last year. we've a fanatical placement portal, Whats app Group which caters to the requirements of the scholars during placements. Webasha Technologies conducts regular skill development sessions including mock interviews, Resume writing, presentation skills to arrange students to face a challenging interview situation with ease. 1000+ interviews organized at our center.

  • Who is My Trainer & How are they Selected?

    • Our trainers are more than 12+ years of experience in course relevant technologies.
    • Webasha Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
    • Webasha Trainers have experienced on multiple real-time projects in their industries.
    • They are working professionals working in multinational companies such as ATOS, Vodafone, Airtel, IBM, RedHat, etc…
    • Trained more than 1000+ students in a year.
    • They have Strong theoretical & practical knowledge.
    • They are certified professionals with high grade.
    • They are well connected with hiring HRs in multinational companies.
  • What to Do if I Miss a Session?

    Don't worries. WebAsha Technologies assure that no one misses single lectures. WebAsha team will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. You can even attend that topic with any other running batches.

  • Which type of Certification will I Receive After Course Completion?

    You will receive Forte WebAsha Technologies Pvt. Ltd. globally recognized course completion certification.

  • Any Group Discounts (or) Corporate Training for Our Team?

    Yes, WebAsha Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat, Whats app Chat option or drop a Quick Inquiry. Depending on the group size, WebAsha Team offer discounts as per the terms and conditions.

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