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Data Analytics Training in BTM Layout

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Rated #1 Recognized as the No.1 Institute for Data Analytics Training in BTM Layout

As a Top-Rated Institute for Data Analytics Training in BTM Layout, We Empower Aspiring Data Professionals With In-Demand Skills to Excel in Today’s Data-Centric World.

Our Industry-Aligned, Hands-On Curriculum Covers Essential Tools, Techniques, and Real-World Applications, Ensuring You’re Ready for Any Analytical Challenge. Enroll Now in the Leading Data Analytics Course With Placement Assistance, Expert Mentorship, and Practical Exposure to Give Your Career a Strong Head Start.

  • Beginner to Advanced Level Classes.
  • Top MNC Interview Question Preparation.
  • 12,400+ Students Trained | 350+ Hiring Partners.
  • Hands-On Data Analytics Training in BTM Layout.
  • Lifetime Access to Student Portal & Study Materials.
  • New Data Analytics Batch Starting This Week – Enroll Now!

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Fee INR 18000

INR 14000

Training

Enroll Now View Syllabus

  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Boost Your Career with Our Data Analytics Training

  • Our Data Analytics Training in BTM Layout is designed to equip aspiring professionals and working individuals with the essential skills necessary for data-driven decision-making.
  • Participants will delve into critical topics such as data cleaning, data visualization, statistical analysis, predictive modeling, gaining a comprehensive understanding of modern analytics platforms in Data Analytics Training.
  • Choose from self-paced, ILT, VILT, and on-demand sessions. Designed to fit all schedules and learning preferences.
  • Learn from certified professionals through project-based sessions. Gain practical skills in Python, SQL, Excel, Power BI, Tableau, and more.
  • Earning our certifications significantly boosts your resume and opens doors to roles such as Data Analyst, Business Analyst, Reporting Analyst, and Data Visualization Expert.
  • You'll also receive end-to-end career support, including resume building, mock interviews, placement assistance, and professional networking tailored to your goals.
  • By program completion, you’ll be ready to analyze complex datasets, extract actionable insights, and deliver impactful business solutions that drive innovation and growth.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
Top Placement Record

Upcoming Batches

07-July-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

(Class 1Hr - 1:30Hrs) / Per Session

09-July-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

(Class 1Hr - 1:30Hrs) / Per Session

12-July-2025
Weekends

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

13-July-2025
Weekends

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

    Hear it from our Graduate

    Tools Covered In Data Analytics Course in BTM Layout

    Course Objectives

    Enrolling in a Data Analytics training program equips you with the ability to interpret complex data, make informed decisions, and drive business growth. It opens career opportunities in a fast-growing field where data-driven insights are highly valued. The program also helps you develop technical and analytical skills that are transferable across industries.
    • Basic understanding of math and statistics is helpful but not always required.
    • Familiarity with computers and software use is essential.
    • Some courses recommend knowledge of Excel or similar spreadsheet tools.
    • No prior programming experience is needed for beginner courses.
    • A willingness to learn and analyze data logically is key.
    Data Analytics training typically includes a mix of lectures, hands-on exercises, case studies, and real-world projects. Participants often work with data sets using tools like Excel, SQL, Python, or R to analyze and visualize data. Interactive quizzes and group discussions reinforce key concepts and foster collaborative problem-solving. This blended approach ensures practical understanding alongside theoretical knowledge.
    • Working with real-world datasets to practice data cleaning and transformation.
    • Using tools like Excel, SQL, Python, or R for data analysis and querying.
    • Creating visualizations with tools like Tableau or Power BI.
    • Completing case studies simulating business problems and decision-making.
    • Data collection, cleaning, and preprocessing techniques.
    • Exploratory data analysis and visualization methods.
    • Basics of statistics and probability applied to data.
    • Introduction to SQL, Python/R programming for data tasks.
    • Data storytelling, reporting, and presentation skills.
    Essential skills include strong analytical thinking, problem-solving, and attention to detail to interpret data accurately. Familiarity with statistical concepts and proficiency in tools like Excel, SQL, or programming languages such as Python or R are important. Communication skills are also crucial for presenting findings clearly to non-technical audiences. Curiosity and a willingness to continuously learn new technologies enhance success in the course.
    Yes, many Data Analytics courses are designed for beginners with no prior experience, starting with foundational concepts and gradually advancing to more complex topics. They often provide step-by-step guidance and plenty of practical exercises to build confidence. The curriculum usually covers essential tools and techniques from the ground up, making it accessible for learners new to the field.

    What tools and technologies are used in Data Analytics training?

    • Spreadsheet tools like Microsoft Excel or Google Sheets.
    • SQL databases for querying and managing data.
    • Programming languages such as Python or R for advanced analytics.
    • Visualization tools like Tableau, Power BI, or matplotlib.
    • Cloud platforms and big data tools in advanced courses.

    Is Data Analytics in demand in the job market?

    Data Analytics is highly in demand across various industries including finance, healthcare, retail, and technology. Organizations rely on data insights to improve operations, marketing strategies, and customer experience, fueling a growing need for skilled analysts. Job opportunities continue to expand as businesses invest more in data-driven decision-making.

    What is the future career outlook for Data Analytics professionals?

    • High demand across industries such as finance, healthcare, and retail.
    • Increasing reliance on data for business strategy boosts job growth.
    • Roles include data analyst, business analyst, data scientist, and more.
    • Competitive salaries and opportunities for career advancement.
    • Continuous learning is needed as new tools and techniques evolve.

    Is Data Analytics easy to learn for beginners?

    While Data Analytics involves some technical skills and concepts, many beginners find it manageable with the right training and practice. Courses often break down complex topics into simpler, digestible parts and provide hands-on experience. A logical mindset and curiosity help learners grasp analytical thinking more easily. Like any skill, consistent effort and real-world application are key to mastering Data Analytics over time.
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    Overview Of Data Analytics Course in BTM Layout

    Data Analytics is the process of collecting, organizing, and analyzing raw data to discover meaningful patterns, trends, and insights that can support informed decision-making. It plays a crucial role in helping businesses and organizations understand customer behavior, market trends, and operational performance. By leveraging data analytics, companies can enhance efficiency, lower costs, and make informed strategic decisions based on factual insights rather than assumptions. There are four main types of data analytics: descriptive analytics, which explain what has happened; diagnostic analytics, which explore why something happened; predictive analytics, which forecast future outcomes; and prescriptive analytics, which suggest possible courses of action. Tools like Excel, SQL, Power BI, Tableau, Python, and R are commonly used to perform data analysis across various industries. Data Analytics Course finds applications in marketing, finance, healthcare, retail, and more. For example, it aids in analyzing customer behavior, detecting financial fraud, enhancing patient care, and optimizing inventory management. Whether you're a business professional, analyst, or aspiring data scientist, learning data analytics equips you with valuable skills to make data-driven decisions and stay competitive in today's information-driven world.

     

    Additional Info

    Prospects and Advancements in Data Analytics

    • Industry Demand: Data Analytics is becoming a cornerstone across various industries, including finance, healthcare, retail, and technology, due to its ability to transform raw data into strategic insights.
    • Career Opportunities: Expertise in Data Analytics paves the way for a variety of in-demand roles, including Data Analyst, Business Analyst, Data Scientist, Data Engineer, BI Developer, and Analytics Consultant.
    • Ongoing Innovation: The field of data analytics continues to evolve with innovations in AI, machine learning, big data technologies, and cloud computing.
    • Career Advancement: Certifications in Data Analytics, such as those from Google, Microsoft, IBM, or SAS, enhance credibility and improve job prospects.
    • Comprehensive Technology Ecosystem: Data Analytics operates within a vast technology ecosystem that includes data warehouses, ETL pipelines, cloud platforms, and tools such as Tableau, Power BI, Python, R, SQL.
    • Industry Relevance: As businesses strive to become more data-driven, Data Analytics remains a highly relevant discipline across all sectors.
    • Gateway to Advanced Concepts: Mastering Data Analytics opens doors to advanced concepts, including predictive modeling, data mining, AI integration, natural language processing (NLP), and deep learning.

    Key Duties and Functions of Data Analytics Experts

    • Data Collection and Extraction: Gather data from multiple sources, including databases, APIs, and cloud platforms.
    • Tool Utilization: Work with essential tools like SQL, Python, R, Excel, and SAS. Utilize cloud platforms such as AWS, GCP, and Azure for scalable data solutions.
    • Data Analysis: Use statistical methods and analytical techniques to interpret data and uncover patterns or trends.
    • Data Visualization: Create charts, graphs, and dashboards using tools like Tableau, Power BI, Excel, or Python libraries.
    • Reporting: Present findings in an easy-to-understand format to help business teams make informed decisions. Help business teams make well-informed, data-driven decisions.
    • Business Understanding: Collaborate with stakeholders to identify business needs and translate them into analytical tasks.
    • Predictive Modeling: Build and deploy models to forecast future trends, behaviors, or outcomes. Use these forecasts to support strategic decision-making.
    • KPI Tracking: Define, monitor, and optimize key performance indicators relevant to the organization. Continuously optimize these metrics to drive organizational success.

    Popular Tools Commonly Utilized in Data Analytics

    • Python: Widely used for data analysis, machine learning, and data visualization. Flexible and powerful, it supports automation and advanced analytics.
    • R: Preferred in academic and research settings for statistical analysis. Excellent for creating detailed data visualizations and reports.
    • SQL: Essential for querying and managing data in relational databases. It allows you to extract, filter, and manipulate large datasets efficiently.
    • Microsoft Access: Ideal for small-scale database management and reporting. A user-friendly option for building custom data solutions quickly.
    • Tableau: Known for interactive, visually appealing dashboards and reports. Great for turning complex data into easy-to-understand visuals.
    • Power BI: Microsoft's business intelligence tool for data visualization. Integrates seamlessly with Excel and other Microsoft products.
    • Looker: A modern data exploration tool from Google Cloud. Used for real-time data visualization and business insights.
    • Alteryx: Offers a drag-and-drop interface for data blending and prep. Supports advanced analytics without requiring heavy coding.

    Advantages of Pursuing a Data Analytics Course

    • In-Demand Skill Development: Master high-demand analytics skills valued across industries. Stay competitive in today’s data-driven world.
    • Career Opportunities: Qualify for roles like Data Analyst, Business Analyst, and Data Scientist. Expand your career options across multiple fields.
    • Improved Decision-Making: Turn complex data into actionable insights. Support smarter, data-driven business decisions.
    • Hands-On Tool Experience: Get trained in Python, SQL, Power BI, Tableau, and Excel. Gain practical skills using industry-standard tools.
    • Higher Salary Potential: Enjoy higher-than-average salaries in analytics roles. Unlock strong career growth opportunities.
    • Cross-Industry Applications: Apply analytics in finance, healthcare, retail, marketing, IT, and more. Be adaptable across various sectors.
    • Stronger Analytical Thinking: Improve critical thinking, data interpretation, and problem-solving. Approach challenges with logic and insight.
    • Certification & Credibility: Earn industry-recognized certifications. Enhance your resume and professional credibility.
    • Real-Time Project Exposure: Work on case studies and projects to apply your knowledge in practical scenarios.
    • Foundation for Advanced Learning: Acts as a stepping stone for learning data science, AI, or machine learning.
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    Key Features

    ACTE Bangalore offers Data Analytics Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS.

    Curriculum

    Syllabus For Data Analytics Training in BTM Layout
    Module 1: Fundamentals of Data Analytics
    • Types of Data: Structured, semi-structured, and unstructured data.
    • Analytics Types: Descriptive, diagnostic, predictive, prescriptive.
    • Data Lifecycle: Collection, cleaning, analysis, visualization, interpretation.
    • Roles in Analytics: Data analyst, business analyst, data scientist.
    Module 2: Excel for Data Analysis
    • Formulas & Functions: SUM, IF, VLOOKUP, INDEX and MATCH.
    • Data Cleaning Tools: Remove duplicates, text-to-columns, data validation.
    • Pivot Tables: Summarize and explore large datasets
    • Charts: Column, bar, line, pie, combo charts for visualization
    Module 3: SQL for Data Querying
    • SELECT Queries: Retrieve specific data from tables.
    • JOINs: Combine data from multiple tables (INNER, LEFT, RIGHT)
    • GROUP BY & Aggregations: SUM, AVG, COUNT for grouped data
    • Subqueries & Aliasing: Use queries within queries and rename columns.
    Module 4: Python for Data Analytics
    • NumPy : Numerical computations and array handling
    • Pandas: Dataframes for reading, transforming, and analyzing data
    • Matplotlib: Basic charting and visualizations
    • Seaborn: Statistical data visualizations with styling options
    Module 5: Data Visualization Tools
    • Power BI: Microsoft’s business intelligence tool.
    • Tableau: Visual analytics platform for building dashboards.
    • Filters & Slicers: Interactive controls for data exploration.
    • Calculated Fields: Custom formulas within visuals
    Module 6: Basics of Machine Learning
    • Scikit-learn: Python library for machine learning.
    • Supervised Learning: Regression, classification (e.g., linear regression, decision trees).
    • Unsupervised Learning: Clustering techniques like K-Means.
    • Model Evaluation: Accuracy, confusion matrix, cross-validation.
    Module 7: Statistics for Data Analytics
    • Descriptive Statistics: Mean, median, mode, range, standard deviation
    • Probability: Basic probability, distributions, conditional probability.
    • Inferential Statistics: Hypothesis testing, confidence intervals, t-tests.
    • Environment Configuration: Set up ports, secrets and variables in hosting platforms.
    • Correlation and Regression: Relationships and prediction between variables.
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    Get Hands-on Knowledge about Real-Time Data Analytics Projects

    Project 1
    Business Metrics Dashboard

    Create a dashboard to track sales, profits, and regional trends. Include filters for time, category, and location to enable detailed performance analysis.

    Project 2
    Customer Segmentation

    Analyze customer data to group users by behavior and demographics using clustering techniques. Analyze customer interactions to segment users by shared traits.

    Project 3
    Sales Forecasting

    Use historical sales data to predict future revenue trends with time series analysis. Examine past sales performance to identify seasonal patterns and trends over time.

    Project 4
    Customer Behavior Prediction

    Build a model to forecast customer actions like churn or repeat purchases. Use historical data, apply ML algorithms, and visualize results with charts.

    Our Data Analytics Placement Can Help You Find a Job

    • Our Data Analytics Placement program builds strong industry connections. It helps students secure roles with leading companies across multiple sectors.
    • We provide intensive training through mock interviews, aptitude tests, and technical evaluations to ensure students are confident and job-ready for competitive roles in analytics.
    • Stay updated with real-time job openings via our dedicated student placement portal, where you’ll receive timely alerts, company schedules, and interview follow-ups.
    • Our experienced Data Analytics Placement team works closely with each student to understand their goals and connect them with job roles that align with their skill set and interests in the field of data analytics.
    • We partner with a wide range of employers, from innovative startups to large enterprises, offering Data Analytics Placement opportunities across multiple industries and job profiles.
    • Our institute’s strong industry reputation and trusted corporate collaborations reflect our commitment to student success and career advancement in the fast-growing data analytics domain.

    Get Industry Recognized Data Analytics Certification

    Earning our Data Analytics Certification significantly enhances your professional credibility and expands your career opportunities in data-driven roles. This certification validates your expertise in analyzing, interpreting, and visualizing data using industry-standard tools like Python, SQL, Excel, Power BI, and Tableau. It showcases your ability to derive actionable insights from raw data and contribute to data-informed decision-making across various sectors. Whether you’re aiming for roles in business analysis, data science, or business intelligence, this certification gives you a competitive edge and access to a wide range of job opportunities in the rapidly growing analytics field.

    • Proves your ability to work with real-world datasets, perform analysis, and create data-driven reports.
    • Opens doors to roles such as Data Analyst, Business Analyst, BI Developer, and Data Scientist.
    • Boosts your appeal to employers with practical skills in data handling and visualization.
    • Develops key skills in data cleaning, analysis, modeling, and dashboarding.
    Yes, a certification plays a key role in strengthening your profile by showcasing your real-world data analytics skills. It helps you stand out to employers and improves your chances of landing your desired job.
    To pursue certification, a foundational understanding of statistics, Excel, and basic data analysis is helpful. Some certifications are beginner-friendly, while others may require familiarity with Python, SQL, or BI tools. Prior experience in working with datasets is an added advantage.
    • Certified Data Analytics Associate
    • Certified Business Intelligence Specialist
    • Certified Data Analyst – Professional
    • Advanced Analytics Expert (with ML/AI integration)
    • Data Analyst
    • Business Analyst
    • BI Developer
    • Market Research Analyst
    • Operations Analyst
    • Reporting Analyst

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    Get the Best Practice Advice From Our Data Analytics Trainers

    • Our Data Analytics Trainers are experienced industry experts from top global companies, holding multiple certifications and hands-on experience in real-world analytics projects.
    • They bring valuable perspectives from leading firms such as Google, Amazon, Deloitte, IBM, and Microsoft, enriching the sessions with case studies, real-time problem-solving, and proven industry best practices.
    • Our Data Analytics Trainers are skilled at creating engaging, learner-focused environments that cater to diverse learning styles, ensuring that every student builds a strong foundation in data analytics concepts.
    • They simplify complex topics such as data modeling, statistical analysis, and visualization techniques, making them easy to understand and implement across various business domains.
    • The training content is regularly updated to align with current market trends, technologies, and tools, including Python, SQL, Excel, Tableau, and Power BI, ensuring learners gain relevant, up-to-date skills.
    • With a strong focus on hands-on learning, our trainers guide students through real-world projects, interactive exercises, and live case studies to reinforce skills in data interpretation and storytelling.
    • Dedicated to mentorship, our Data Analytics Trainers provide continuous support, career advice, and personalized feedback to help learners confidently pursue careers in Data Analytics, BI, or Data Science.

    Data Analytics Course FAQs

    Who are the course instructors, and how are they selected?

    At ACTE, all instructors are seasoned industry professionals with at least 10–12 years of relevant IT experience. Actively working in live corporate settings, they bring practical, current industry knowledge into the training. They are chosen for their knowledge, teaching skills, and practical experience to provide quality training with real-world applicability that meets the needs of the industry.
    Of course, ACTE offers practice tests developed to assist learners in assessing and consolidating knowledge and skills within the applicable domain. These tests are effective tools for monitoring progress and preparing for realistic applications.
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Student list on our website.
    • We have solid working relationships with more than 700+ of the world's leading multinational corporations, including SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, ZOHO, TCS, IBM, and more.
    • More than 3500+ students placed last year in India & Globally. Our Placement Cell support you till you get placed in a better MNC.
    • Please Visit Your Student Portal. Here, the FREE Lifetime Online Student Portal helps you to access Job Openings, Study Materials, Videos, Recorded sections, & Top MNC Interview Questions.
    Yes, we offer job assistance upon course completion
    • Practical Experience
    • Hands-On Projects
    • Resume Preparation
    • Aptitude and Technical Skills
    • Mock Interviews
    • Group Discussions
    To enroll in ACTE's Data Analytics course, visit their website, navigate to the course page, and click Enroll Now. Fill out the form, choose your preferred batch timing, and start your Data Analytics journey today!
    The Data Analytics Master Program Training at ACTE provides in-depth knowledge of data analysis, visualization, and business intelligence. You will gain practical experience with tools such as Excel, SQL, Tableau, and Python to analyze, interpret, and visualize data. Through hands-on projects, you'll develop the skills to derive actionable insights and make informed decisions, equipping you for a successful career in data analytics and business intelligence.
    The ACTE certification validates abilities and knowledge in particular domains, which is valuable for career advancement. However, depending on employer preferences, industry norms, and how applicable the accreditation is for specific roles, its significance and recognition may differ.
    • A basic understanding of mathematics and statistics
    • Knowledge of Excel
    • Familiarity with databases
    • An understanding of business processes
    • Basic programming knowledge
    Indeed, many training programs are demanding as far as working on actual projects is concerned. More practical experience and a better understanding of the world and real lines actually give participants concrete skills, which enhances the employability of these trainees and readiness for professional roles.
    If you are unable to attend a class at ACTE, you can view recorded sessions or request make-up lessons. Additionally, resources and training materials are provided to help you compensate for missed content.
    Our course is easily manageable alongside your real-life commitments because it is available in customized one-on-one, fast-track, tailored, and online training modes.
    Learn Data Analytics at ACTE to take advantage of comprehensive training, an industry-standard curriculum, experienced instructors, real-world assignments, certification, assistance in obtaining employment, and a friendly learning environment that will ensure your success in the field.
    Yes, the Data Analytics classes will contain hands-on practice, real-world projects, and interactive discussions. They also include mock interviews and group discussions to improve your skills and prepare you for the job market. You will learn to solve technical issues properly and be successful in team-based settings.
    Yes, we give students lifetime access to the study materials, videos, and top MNC interview questions on the Student’s Portal.
    We offer recorded video lessons for the training. After you complete the payment and enroll in the course, you will gain access to the pre-recorded sessions through our course platform, allowing you to watch them at your own pace.
    The salary range for a Data Analytics professional is between 6 lakhs and 18 lakhs per year, and with increasing reliance on data-driven decisions, skilled analysts are seeing steady growth in demand and compensation.
    Yes, Learning Data Analytics is easy because of the various tools and resources available online with user-friendly interfaces. Most basic concepts are mathematical or statistical, logical, and learnable with some hands-on knowledge. Many also offer hands-on exercise programs with real-world projects where you can actually apply your learned knowledge.
    • Data Collection
    • Data Cleaning
    • Data Analysis
    • Data Visualization
    Yes, Data Analytics is the best option for freshers. The field is in hot demand across various industries globally. With more and more people focusing on data-driven decisions, there are many career opportunities. Thanks to the numerous courses, certifications, and resource availability, freshers easily acquire skills to succeed in this field.
    The primary use case for data analytics is to support a data-driven decision-making ecosystem across industries. It improves the optimization of business processes, customer experiences, and strategy refinement. Data analytics is particularly useful in domains such as marketing, healthcare, and finance, helping to reduce the risk of making unwise decisions and utilizing scarce resources efficiently.
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          Job Opportunities in Data Analytics

          More Than 35% Prefer Data Analytics for Business. Data Analytics Is One of the Most Popular and In-Demand Technologies in the Business World.

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          Upcoming In-Demand Jobs
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          Salary In Data Analytics

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