Best Data Analytics Course in Pune with 100% Placement Assistance
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Data Analytics Course in Pune

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Weekdays Regular

08:00 AM & 10:00 AM Batches

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


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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
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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
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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.
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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 and National Institute of Education (nie) Admedabad.


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
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Need customized curriculum?

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

Project 1
Customer Churn Prediction

In this project, students analyze customer data to identify patterns and predict which customers are likely to leave a service.

Project 2
Market Basket Analysis

Students identify product associations and purchasing patterns to optimize product placement and marketing strategies.

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

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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

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Give +91 93833 99991 a call right now to see what amazing offers are waiting for you!
  • ACTE supports its students with comprehensive placement assistance.
  • The placement cell offers ongoing support until students secure employment.
  • ACTE maintains strong partnerships with over 700 leading MNCs, providing numerous placement opportunities.
  • Enjoy complimentary lifetime access to the Student Portal, featuring job listings, study materials, instructional videos, recorded sessions, and common MNC interview questions.
  • With a remarkable placement rate of over 85%, ACTE demonstrates its dedication to student success.
  • Students can verify placements by checking the Placed Student list on the website.
Due to its track record for helping students land jobs at highly regarded multinational corporations like SAP, Oracle, and Accenture, ACTE is well-known. A plethora of resources and support for career advancement are promised by ACTE, which boasts an astounding 85% placement rate and over 3500 students placed overseas in the previous year.
Yes, the data analytics course encompasses portions of practical training. With the assistance of case studies, practical exercises, and real-world projects, students apply concepts of theory, analyze datasets, and create data-driven solutions. They gain invaluable experience using tools and techniques related to data analytics as a result.
At ACTE, every trainer possesses 10 to 16 years of appropriate technical expertise and is a working professional. As subject matter experts with ACTE training, they can provide an excellent learning opportunity. Our trainers improve learning and guarantee that students receive outstanding instruction that equips them for the workforce by taking on their own experiences and practical examples.
If you miss one or more classes, ACTE provides recorded sessions on the Student Portal. You can access these recordings anytime, ensuring you don't fall behind. Additionally, the portal offers study materials and instructional videos to help you catch up.
The Data Analytics Course offers various training modes: online classes, classroom sessions, and self-paced learning with access to recorded sessions and study materials via the Student Portal.

Why Should I Enroll in an ACTE Data Analytics Course?

Taking an ACTE Data Analytics course provides you access to resources like study guides, session recordings, and interview tips in addition to obtaining training from professionals and thorough placement assistance. ACTE guarantees strong career opportunities and assistance thanks to its partnerships with more than 700 MNCs and placement rate of over 85%.
Before enrolling, prospective students are encouraged to visit ACTE for an orientation or trial class. Before establishing whether or not to enroll, it enables people to interact with instructors, experience the teaching style, and evaluate the course material.
The National Institute of Education (NIE), located in Singapore, will award you with the internationally recognized ACTE course completion certification.
For over 15 years, the premier training company ACTE has been providing excellent instruction in various subjects, including Data Analytics, and has established a solid reputation as a trustworthy source of knowledge.
With small class sizes of usually 10 to 15 students, ACTE maintains a low student-teacher ratio to guarantee that each participant receives individualized attention and effective learning.
On weekdays or weekends, there are generally options for morning, afternoon, or evening classes. The schedule may vary according to the frequency of the course, the student, and the instructor's availability.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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