Best Data Analytics Course in Pune with 100% Placement Assistance | Updated 2025
Home » Bi & Data Warehousing Courses Bangalore » Data Analytics Course in Pune

Data Analytics Course in Pune

22369 Ratings

Rated #1 Rated Institute for Data Analytics Courses in Pune

Being Pune’s top data analytics training Institute, we provide thorough courses for professionals and students who wish to become proficient in data analysis, insight extraction, and decision-making.

Our curriculum guarantees that you have a firm grasp of data analytics methods and resources, preparing you for success in this in-demand industry. Enroll in the top data analytics course with placement assistance for expert instruction, practical experience, and great career opportunities.

  • Access unlimited interview opportunities with top MNCs.
  • With over 350+ Employing Clients and 11,462+ Trained Learners.
  • Participate in interactive sessions and work on real-world case studies.
  • Learn from certified instructors with 10+ years of experience in data analytics.
  • Receive high-quality curriculum at affordable prices with 100% placement support.
  • Our Data Analytics program is designed to provide you with the essential skills in the field.

Fee INR 18000

INR 14000

Training

  • 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

Get Acquire Our Resourceful Data Analytics Course

  • Our students gain insight into various methods for gathering data from multiple sources, including databases, web scraping, APIs, and sensors. To make sure the data is suitable for analysis, they also study data cleaning and preprocessing methods.
  • Successfully completing our course certifies your understanding of data analysis methods, tools, and techniques. This improves your job options in fields such as data science, business intelligence, and decision-making.
  • Due to the growing amount and complexity of data, our data analytics course includes instruction on big data management technologies such as Hadoop, Spark, and other distributed computing frameworks.
  • Upon finishing this course, we provide students with job placement support. This includes preparing for interviews, creating resumes, and utilizing our partnerships in the industry to help students find jobs.
  • Our data analytics course incorporates practical projects using real-world data sets, offering immersive learning experiences that improve problem-solving abilities and provide an understanding of data-related challenges in a variety of fields.
  • In order to gain insights and make wise decisions, our data analytics course usually covers a wide range of topics associated with collecting, storing, analyzing, and interpreting data.
  • Seasoned experts typically lead this course with substantial industry experience and a strong foundation in data analytics. Many of our educators have obtained advanced academic qualifications in data science, computer science, or statistics.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Talk to us

we are happy to help you 24/7

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+
28-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

04-May-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Course Objectives

    • Analytical Statistics
    • Data Preprocessing
    • Data Cleaning
    • Data Visualization
    • Advanced Analytics Techniques
    • Database Management
    • Machine Learning Basics
    After completing a data analytics course, experts can advance in their careers by obtaining positions as analysts, business analysts, data scientists, or analyst consultants. By using data-driven insights and decision-making, they can foresee prospects for higher compensation, career advancement, and the ability to significantly impact organizations.
    • Crafting intuitive visualizations
    • Working with authentic datasets
    • Creating dynamic dashboards for presenting analytics and insights
    • Applying and assessing machine learning models for predictive and classification tasks
    Yes, coding is necessary for data analytics tasks like cleaning, analyzing, and implementing models. If one is proficient in widely used languages like Python, R, and SQL, one can effectively manipulate, visualize, and interpret data to gain insights and make data-driven decisions.
    Yes, because data analytics jobs are in high demand and require specialized skills, they are frequently well-paid. Factors such as industry, region, and level of experience affect salary variations. Experienced workers and those with advanced skills usually command higher salaries, especially in industries like finance, technology, and healthcare, where data analysis is essential for innovation and decision-making. Entry-level positions normally start at competitive rates.
    • SQL
    • Excel
    • SPSS
    • SAS
    • Tableau
    • Jupyter Notebook
    Enrolling in a data analytics training offers structured instruction along with practical application of key tools and methodologies. It increases employability across a range of industries by providing people with in-demand skills like machine learning, statistical analysis, and data wrangling. Furthermore, courses frequently provide access to industry insights, career counseling, and networking opportunities, all of which improve the chances of a successful entry and advancement into the field.

    What qualifications are needed to register for a data analytics training?

    • Basic computer literacy
    • Proficiency in mathematics, including statistics
    • Familiarity with programming concepts

    Is learning data analytics simple?

    Although it can be difficult, learning data analytics can be rewarding. Even though some ideas might be difficult, learning can be made accessible with the help of tools like online tutorials, community forums, and courses. The keys are hands-on projects, regular practice, and an inquisitive mindset. For motivated learners, regardless of background, mastering data analytics is achievable with dedication and persistence.

    Will Data Analytics Trends Drive the IT Industry in the Future?

    Yes, data analytics trends will greatly impact the direction of the IT industry. Due to the growing volume and complexity of data, businesses are depending more and more on analytics to gain insights for well-informed decision-making. This has created a demand for data-driven solutions, knowledgeable experts, and cutting-edge technologies to leverage data for competitive advantage and expansion.

    What are the benefits associated with earning a certification in data analytics?

    • Career Advancement
    • Stay Updated
    • Networking Opportunities
    • Enhanced Skillset
    • Industry Recognition
    Show More

    An Overview of Data Analytics

    Data analytics bridges various disciplines, focusing on the scrutiny, purification, transformation, and modeling of data to unearth valuable insights that inform choices and prompt initiatives. It employs a spectrum of strategies, from statistical analysis to machine learning and predictive modeling, to parse through vast and complex datasets. This practice is integral to sectors including business, healthcare, finance, and marketing, aiding in the detection of patterns, trends, and correlations essential for informed strategic development and operational refinement. Driven by the surge of big data and breakthroughs in technologies such as cloud computing and AI, data analytics is a continually evolving domain that enables organizations to innovate based on data, improve efficiency, and make well-informed decisions.

     

    Additional Info

    Exploring Data Analytics Career Opportunities

    • Data Analyst: Discover patterns and insights in data analysis to support decision-making across a range of sectors, including marketing, finance, and healthcare.
    • Data Scientist: To drive innovation and strategic planning, leverage machine learning and advanced analytics techniques to extract insights from large, complex datasets.
    • Data Engineer: Create, build, and manage data pipelines and architectures to guarantee effective data processing and analysis accessibility.
    • Data Architect: Create data structures and strategies that enable seamless information storage, retrieval, and integration across organizational systems.
    • Business Intelligence Analyst: Convert data into useful information that can be used to inform business plans, streamline processes, and boost output.
    • Machine Learning Engineer: Create and implement machine learning models to improve product functionality, automate tasks, and provide predictive insights.
    • Quantitative Analyst: Utilize financial data to apply statistical and mathematical techniques for algorithmic trading, investment strategies, and risk assessment.
    • Big Data Analyst: Use specialized tools and technologies to manage massive volumes of heterogeneous data sources in order to support business objectives and gain insightful knowledge.

    Roles and responsibilities of Data Analytics professionals

    • Data Collection and Cleaning: The task of collecting data from multiple sources, including files, databases, and APIs, falls to data analysts. They clean and preprocess the data to get rid of mistakes, duplicates, and unnecessary information, ensuring that it is accurate, full, and consistent.
    • Data Analysis: Data analysts analyze the data using statistical methods to find patterns, trends, correlations, and anomalies. They also extract valuable insights from the data using techniques like regression analysis, clustering, hypothesis testing, and descriptive statistics.
    • Data Interpretation: Data analysts convert their analytical conclusions into useful knowledge that informs business choices. They use succinct language, reports, and visual aids to effectively convey their findings to stakeholders, such as managers, executives, and non-technical team members.
    • Model Development: Data analysts can use optimization strategies, machine learning algorithms, or mathematical models to perform predictive and prescriptive analytics in addition to descriptive analytics. They create predictive models in order to predict future trends, recognize opportunities or risks, and maximize the effectiveness and efficiency of business processes.
    • Ethical Considerations: When handling data, especially sensitive or private information, data analysts abide by ethical norms and guidelines. They uphold data security, respect individual privacy rights, and guarantee impartiality and openness in their decision-making and analytical procedures. Additionally, they support data literacy among stakeholders and ethical data practices inside the company.
    • Continuous Learning: Data analysts participate in continuous learning to stay up to date with industry trends, new tools, and best practices because of the quick evolution of data analytics technologies and methodologies. Participants in professional networks, training sessions, conferences, and online courses are among the events they attend. They also look for chances to share knowledge and advance their skills.
    • Collaboration: Within the company, data analysts collaborate closely with cross-functional teams to use data for decision-making and business insights. They work together with IT specialists to retrieve and combine data from multiple sources, with business stakeholders to comprehend their needs and preferences, and with subject matter experts to evaluate and confirm analytical results in light of the larger picture.

    Prerequisites for Enrolling in Data Analytics Course

    • Programming Knowledge: Understanding programming concepts can enhance data analytics learning. Python, R, and SQL are commonly used for data manipulation, analysis, and visualization, so a basic understanding of programming or willingness to learn can be beneficial.
    • Communication Skills: Data analysts must communicate effectively to present their findings clearly, succinctly, and understandably to stakeholders. This covers written communication in the form of reports, emails, and documentation, as well as verbal communication during presentations and meetings.
    • Educational Background: Data analytics courses often require a high school diploma or equivalent, and some programs may require a bachelor's degree in a related field like business, economics, engineering, computer science, or mathematics. It's crucial to confirm the specific requirements of the course you're interested in.
    • Critical Thinking: Data analysts need to be capable of critical thinking to analyze data sources, determine whether conclusions are valid, and reach well-informed conclusions. They ought to be able to challenge presumptions, consider different viewpoints, and spot any potential biases in data analysis methods.
    • Analytical Thinking: Data analytics professionals need strong analytical abilities to interpret data, spot trends, and derive actionable insights. Students should be skilled at decomposing complex problems into simpler ones, using logical reasoning, and applying analytical techniques to extract useful information from data sets.
    • Mathematics: A strong foundation in mathematics is essential for data analytics. Data analysis tasks like regression analysis, probability distributions, and hypothesis testing often require knowledge of topics like algebra (including linear algebra), calculus, probability, and statistics.

    Career Scope of Data Analytics Training

    • High Demand: Today's digital age has led to an increase in the volume and complexity of data, which has created a strong demand for qualified data analytics specialists in a number of sectors, including technology, retail, healthcare, and finance.
    • Diverse Roles: A background in data analytics can lead to employment as a data scientist, business intelligence analyst, data engineer, machine learning engineer, data analyst, and more. These positions offer flexibility and chances for career advancement despite having varying responsibilities and skill requirements.
    • Global Opportunities: Global employment and career growth opportunities are available to individuals with data analytics skills. Companies all over the world are investing in data-driven decision-making, which is generating a demand for skilled workers in various regions.
    • Industry Versatility: Data analytics skills can benefit a wide range of industries, including finance, healthcare, e-commerce, marketing, telecommunications, and government. Thanks to this adaptability, professionals can investigate various industries and fields according to their interests and career objectives.
    • Continuous Innovation: Technological developments, novel approaches, and new trends like big data, artificial intelligence, and predictive analytics are all driving the dynamic and ever-evolving field of data analytics. This encourages a culture of lifelong learning and skill improvement, giving professionals chances to stay current and employable.
    • Competitive Salaries: Because of the high demand for their expertise and the specialized nature of their skills, data analytics professionals are paid competitive salaries. Although pay varies according to experience, region, industry, and job function, data analytics jobs generally offer high earning potential.
    • Career Progression: Training in data analytics is a prerequisite for moving up the professional ladder. By gaining experience, developing advanced skills, going back to school or earning certifications, and assuming leadership positions in data analytics teams or departments, professionals can move up the corporate ladder.
    Show More

    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 and National Institute of Education (nie) Admedabad.

    Curriculum

    Syllabus of Data Analytics Course in Pune
    Module 1: Foundations of Data Analysis
    • Static Analysis
    • Counting, Probability, and Probability Distributions
    • Sampling Distributions
    • Estimation and Hypothesis Testing
    Module 2: Exploratory Data Analysis
    • Scatter Diagram
    • ANOVA and Chi-square
    • Data Cleaning
    • Correlation and Regression
    • Imputation Techniques
    Module 3: Data Analytics Overview
    • Importance of Data Analytics
    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Benefits of Data Analytics
    Module 4: Data Visualization
    • Graphical Techniques
    • Data Types, Measure Of central tendency, Measures of Dispersion
    • Skewness & Kurtosis
    • Box Plot
    • Data Visualization Tools
    Module 5: Basic Excel for Data Analysis
    • The CONCATENATE Function
    • Absolute Cell References
    • Data Validation
    • Conditional Formatting
    • Using the IF Function
    • Pivot Tables
    • Charts
    • Difference between Tables and Ranges
    • Create Table
    • Removing Unwanted Characters from Text
    Module 6: Advanced Excel for Data Analysis
    • Date Formats
    • Conditional Formatting
    • Filtering
    • Lookup Functions
    • Sorting
    • Pivoting
    Module 7: Structured Query Language (SQL)
    • SQL SELECT Statement
    • Usage of Single-Row Functions
    • Invoke Conversion Functions
    • Conditional Expressions
    • Aggregate Data Using the Group Functions
    • Display Data From Multiple Tables Using Joins
    • Use Sub-queries to Solve Queries
    • The SET Operators
    • Data Manipulation Statements
    • Use of DDL Statements to Create and Manage Tables
    • Management of Schema Objects
    • Manipulate Large Data Sets
    • Data Management in Different Time Zones
    • Retrieve Data Using Sub-queries
    • Regular Expression Support
    Module 8: Data Visualization Tools- Power BI
    • Introduction to Power BI
    • Power BI Desktop
    • Data Source Connection
    • Data Transforming
    • Modeling using Power BI
    • Data Visualization
    • Reports and Dashboards
    • Publishing and Sharing Reports
    Module 9: Data Visualization Tools- Tableau
    • Tableau Basic Reports
    • Tableau Charts
    • Tableau Advanced Reports
    • Calculations & Filters
    • Tableau Dashboards
    • Server
    Module 10: Python for Data Analysis
    • Basics of Python
    • Program Flow / Data Flow
    • Functions
    • File Handling
    • Exception Handling
    • OOP Concepts
    • Comprehension in Python
    • Thread and DateTime
    • Advanced data Structure/collections
    • GUI programming with Python
    • API access with Python
    Show More
    Show Less
    Need customized curriculum?

    Get Hands-on Knowledge about Real-Time Data Analytics Projects

    Get a Career opportunity With Our Data Analytics Placement Program

    • Interview preparation is a significant component of our job placement program. It contains sample questions, advice on commonly asked topics, and methods for clearly demonstrating data analytics expertise.
    • Typically, our Data Analytics Placement program starts with helping clients enhance their resumes to highlight pertinent education, work history, and skills in the field of data analytics.
    • We provide individualized career counseling as part of our Data Analytics Placement assistance to help with goal-setting, identifying career opportunities, and creating customized career plans in data analytics.
    • In order to increase employability, our career assistance program offers training to enhance data analytics skills, including machine learning, statistics, data visualization, and Python and R programming.
    • Thanks to the solid relationships our students have with major global corporations like Google, Microsoft, Uber, LinkedIn, Salesforce, Netflix, and IBM, placements with major international firms are possible.
    • Our Data Analytics placement program sets up social gatherings, links participants with business associates or alums, and offers tools for developing a professional network.

    Gain the Best Practices In Data Analytics Certification

    Our certification in data analytics attests to your proficiency in analyzing, comprehending, and deriving conclusions from data to guide business choices. It includes abilities like statistical analysis, data visualization, machine learning, and programming. Certification programs that prove proficiency often include practical instruction, tests, and real-world projects. Obtaining a certification boosts one's employability and career prospects in the rapidly expanding data analytics industry.

    A data analytics certification will advance your career because it will show employers how knowledgeable you are about the field, increase your credibility, lead to more employment opportunities, and raise your pay. Because they can use data analysis to support well-informed business decisions, certified experts are highly sought after in today's data-driven environment.
    Obtaining a data analytics certification greatly improves your employment prospects. Certification in data analysis increases your chances of landing a job in a data-driven industry like marketing, technology, healthcare, finance, or advertising, as employers frequently favor candidates with these skills.
    • Data Analyst
    • Database Administrator
    • Data Engineer
    • Big Data Engineer
    • Data Scientist
    • Data Engineering Certification
    • Business Intelligence (BI) Certification
    • Big Data Analytics Certification
    • Data Science Certification
    The duration required to obtain a data analytics certification varies based on a number of variables, including prior knowledge, educational background, and the particular certification program. While some certifications can be earned in a few weeks with focused study, others might take several months to earn through coursework and other requirements. Certification courses typically last anywhere from a few weeks to six months.

    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

    Learn From Our Skilled Data Analytics trainer

    • Statistical analysis, data visualization, machine learning, and programming languages like Python and R are just a few of the areas in which our Data Analytics Trainers excel.
    • All of our data analytics trainers bring a wealth of real-world experience to the classroom because they work for significant companies such as Google, Microsoft, Netflix, Amazon, and Uber.
    • Data analytics trainers ensure that the instruction they provide is pertinent and current by staying up to date on the newest techniques, tools, and trends in the field through continuous education.
    • Along with teaching technical skills, our data analytics trainers provide guidance and professional advice to help students explore career opportunities, polish their resumes, and get ready for data analytics interviews.
    • Students rely on various teaching strategies, such as lectures, hands-on activities, case studies, and real-world projects, to assist them in understanding and applying concepts related to data analytics.
    • Because of their practical knowledge in the field, our trainers in data analytics course in Pune are able to impart best practices, examples, and useful information to their students.
    • Our data analytics trainers adapt their teaching methods to the unique objectives and ability levels of each student, providing them with individualized guidance and support throughout the learning process.

    Data Analytics Course FAQs

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

    All the ACTE instructors have a minimum of 10–12 years of relevant IT experience and an industry background. Therefore, they bring current practical industry insights to the live corporate environment where they train. Selection for instruction is based on mastery of the subject matter, quality of teaching, and industry experience to ensure training that is relevant to current industry needs.
    Yes, ACTE prepares practice tests that help the learner check and develop his knowledge and skills in the appropriate domain. Such tests help track the learner's progress by simulating real-world situations.
    • 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 Master Program in Data Analytics at ACTE involves training for the analysis of incomplete data, visualization, and business intelligence. This will expose the student to hands-on experience using tools such as Excel, SQL, Tableau, and Python in data analytics, interpretation, and visualization. You can create practical projects through which you can develop, extract actionable insights, and formulate data-driven decisions.
    ACTE certification will be in a particular domain and lead to tremendous career growth; however, the value and recognition received will depend upon employers' preferences, industry standards, and relevance to a specific job role.
    • A basic understanding of mathematics and statistics
    • Knowledge of Excel
    • Familiarity with databases
    • An understanding of business processes
    • Basic programming knowledge
    Yes, most of the training courses are rigorous in the context of working on real projects. More hands-on experience and a greater awareness of the world and actual lines make the participant come out with real skills that make trainees employable and ready to take on professional jobs.
    If you miss attending a class in ACTE, you could recover through the recorded session or take up make-up classes. Apart from that, resources and training materials will be provided to help you cover the missed materials.
    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.
    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.
    Show More
    Get Training Quote for Free

          Related Category Courses

          Informatica training acte
          Business Objects Training in Chennai

          Rated #1 Recognized as the No.1 Institute for Business Objects Read more

          Tableau Software training acte
          Tableau Training in Chennai

          Rated #1 Recoginized as the No.1 Institute for Tableau Training Read more

          pentaho training acte
          Pentaho Training in Chennai

          Rated #1 Recognized as the No.1 Institute for Pentaho Training Read more

          hadoop training acte
          Hadoop Training in Chennai

          Rated #1 Recoginized as the No.1 Institute for Hadoop Training Read more

          cognos training acte
          Cognos Training in Chennai

          Rated #1 Recoginized as the No.1 Institute for Cognos Training Read more

          java-acte
          SAS Training in Chennai

          Rated #1 Recoginized as the No.1 Institute for SAS Training Read more

          Python Course
          Python Training in Chennai

          Rated #1 Recoginized as the No.1 Institute for Python Course Read more