4Achievers: Leading Data Science Training Institute in Bangalore
4Achievers is one of the top Data Science Training institutes in Bangalore, offering a robust and hands-on Data Science training program designed to help students gain the skills needed for a successful career in the field of data science. With an industry-oriented curriculum, expert trainers, and practical exposure to real-world projects, students learn the core concepts of data science, including data analysis, machine learning, deep learning, and data visualization. The course is perfect for fresh graduates, working professionals, and anyone looking to upskill and enter the world of data science.
Feature | Details |
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Live Project Work | Real-world projects involving data cleaning, analysis, and machine learning. |
Placement Assistance | Complete support for job placement, including interview preparation and job leads. |
Experienced Trainers | Learn from experts with hands-on industry experience in data science. |
World-Class IT Labs | Fully equipped labs with software like Python, R, and machine learning tools. |
Course Duration | Information |
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Duration | 2-3 months (Flexible weekend and weekday batches available) |
Mode of Training | Classroom and Online options available (Weekend & Weekday batches) |
Live Projects | Work on real-time data science projects in areas like predictive analytics, machine learning, and data visualization. |
Certification | Get a certificate upon successful completion of the Data Science course. |
Skill | Description |
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Python Programming | Learn Python, one of the most widely used programming languages in data science. |
Data Analysis & Visualization | Master tools like Pandas, Matplotlib, and Seaborn to analyze and visualize data. |
Machine Learning | Learn machine learning algorithms like regression, classification, and clustering. |
SQL & Databases | Work with SQL databases and learn to manage and query large datasets. |
Project | Skills Gained |
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Predictive Analytics with Python | Apply machine learning algorithms to forecast future trends based on historical data. |
Customer Segmentation Analysis | Use clustering algorithms to segment customers for targeted marketing. |
Stock Market Prediction | Build a model to predict stock prices using machine learning techniques. |
4Achievers provides the perfect learning environment for those looking to master the art of data science. With practical exposure, industry-relevant tools, and expert trainers, students are ready to face the challenges of the modern data-driven world.
Agile Activities During Data Science Training at 4Achievers Institute
At 4Achievers, a leading Data Science Training institute in Bangalore, we integrate Agile methodology into our Data Science Training program to enhance the learning process and prepare students for real-world data science projects. Agile, a popular project management approach, emphasizes flexibility, collaboration, and iterative progress. By using Agile in our training, we aim to make learning more dynamic, interactive, and closely aligned with industry standards.
The Data Science Training at 4Achievers is designed to follow Agile principles that help students approach problems systematically and deliver results in incremental steps. This hands-on approach ensures that students not only learn the theoretical aspects of data science but also apply their skills to real-world projects.
Sprint Planning:
Daily Standups:
Sprint Reviews:
Sprint Retrospectives:
Collaboration and Feedback:
Agile Activity | Description | Benefit for Data Science Students |
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Sprint Planning | Break tasks into smaller chunks for focused learning. | Ensures structured progress in learning key data science concepts like machine learning, statistics, and data cleaning. |
Daily Standups | Quick daily meetings to discuss challenges and progress. | Helps students stay on track, share challenges, and resolve problems faster. |
Sprint Reviews | Present the work completed during the sprint for feedback. | Provides valuable insights into the quality of the work and identifies areas for improvement. |
Retrospectives | Reflect on what went well and what can be improved for the next sprint. | Continuous improvement and better understanding of data science concepts in real-time. |
Data Science Project | Agile Methodology Applied | Skills Developed |
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Predictive Analytics Model | Sprint Planning: Break down the tasks such as data preprocessing, feature engineering, and model training. Sprint Review: Evaluate the model's performance and make necessary improvements. | Learn how to clean, analyze, and build machine learning models for predictions. |
Data Cleaning and Wrangling | Daily Standups: Discuss data challenges, missing values, or outliers. Retrospectives: Reflect on the tools or techniques that worked best for cleaning the data. | Master data wrangling techniques using Python (Pandas, NumPy) for data preparation. |
Data Visualization | Sprint Reviews: Present visualizations to peers and instructors for feedback. Sprint Planning: Plan the types of visualizations (bar charts, heatmaps, etc.) needed for the project. | Gain proficiency in data visualization tools like Matplotlib, Seaborn, and Tableau. |
Sprint/Module | Topics Covered | Outcome |
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Sprint 1: Introduction to Data Science | Basics of Data Science, Python Programming, and Data Analysis | Gain foundational knowledge of data science tools and techniques. |
Sprint 2: Data Wrangling and Cleaning | Data Preprocessing, Handling Missing Data, Outlier Detection | Learn how to prepare datasets for analysis and model building. |
Sprint 3: Machine Learning | Supervised Learning, Regression, Classification Models | Build and train machine learning models for real-world data. |
Sprint 4: Data Visualization | Visualizing Data with Python (Matplotlib, Seaborn) | Create meaningful visualizations to represent insights from data. |
By integrating Agile activities into Data Science Training in Bangalore, 4Achievers helps students gain not just technical skills but also valuable project management and teamwork experience. Students learn to approach data science problems in an organized and iterative way, improving their ability to manage data science projects in the real world.
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Feature engineering is the process of creating new features or modifying existing features to improve model accuracy. Common methods of feature engineering include: creating polynomial or interaction terms, normalizing values, binning values, creating dummy variables, encoding categorical variables, and extracting features from text.
Ethical considerations are extremely important in data science. Data science involves collecting, analyzing, and interpreting data to make decisions and predictions. 4Achievers data and decisions that are made based on this data can have far-reaching implications for individuals, businesses, and society. Therefore, it is essential that ethical considerations be taken into account when working with data.
Ethical considerations ensure that data is collected, used, and shared in a way that respects the privacy and rights of individuals and organizations. Ethical data science practices also ensure that data is accurate and reliable and that decisions are made in an unbiased manner. Additionally, ethical considerations help to ensure that data is used responsibly and ethically, that data is secured and protected, and that data is used in the most appropriate and effective way.
Ultimately, ethical considerations in data science are important to ensure that data is used responsibly and in the best interest of society. They help to protect data and promote fairness, accuracy, and transparency, while also protecting individuals, businesses, and society from potential negative implications of data-driven decisions.
Data integration in data science is the process of combining data from multiple sources into a single, unified view. 4Achievers is an important part of data analysis and data mining, and is often used to provide a comprehensive view of data sets that may be spread across multiple sources, such as databases and other data warehouses. Data integration combines data from disparate sources into a single, unified view, allowing data scientists to analyze the data more effectively. 4Achievers also allows for improved decision making, as the data scientist can now see the entire data set instead of just pieces of it. Data integration also allows for more efficient data analysis, as the data is consolidated into one place and can be more easily manipulated. Finally, data integration can help reduce the time and money spent on data analysis, as the data is already combined and ready for review.
Data wrangling is an essential part of data science. 4Achievers is the process of gathering, cleaning, transforming and organizing data for analysis. Data wrangling helps to ensure that data is accurate, consistent, and of high quality, making it easier to draw useful insights from it. Without proper data wrangling, data scientists would be limited in their ability to gain meaningful insights from data. Data wrangling helps to identify and fix errors in data sets, so that data scientists can have confidence in the accuracy of their results. 4Achievers also helps to identify outliers and trends, which can be used to create more accurate predictions and models. Data wrangling is also important because it helps to reduce data redundancy and save time, as it allows data scientists to reuse already-cleaned data in their projects. Data wrangling is a critical step in the data science process and can help data scientists to make more informed decisions and draw better conclusions from their data.
Data pre-processing is the process of preparing data for analysis. 4Achievers involves cleaning, transforming, and restructuring data so that it can be used for analysis. Common techniques include cleaning and organizing data, filling in missing values, normalizing data, scaling data, and encoding data. These techniques are designed to make data more suitable for analysis, allowing for better results and more reliable insights.
Feature selection is an important part of the data science process as it allows us to reduce the number of variables in a dataset, making the model building process easier and quicker while also improving the accuracy of the model. Feature selection helps us identify which variables are most important and relevant to the problem we are trying to solve, and discard the variables that have little or no impact on the outcome. This helps to reduce the complexity of the model and also helps to reduce overfitting and improve the model’s ability to generalize to unseen data. Feature selection also helps us to better understand the problem we are trying to solve and the data we are using.
Data engineering is an essential part of data science. 4Achievers involves the process of transforming raw data into structured, organized data that can be used to gain insights from data. Data engineering is the key to unlocking the power of data science. 4Achievers helps to make data accessible, usable, and efficient. Data engineering includes activities such as data extraction, cleaning, integration, and analysis. 4Achievers involves the development of tools, processes, and systems that enable organizations to store, analyze, and visualize data. Data engineering also involves the development of data pipelines, data warehouses, data models, and other systems that allow data to be efficiently managed, stored, and analyzed. Data engineers are the people who are responsible for making sure the data is prepared in the most efficient way possible so that data scientists can use it to uncover valuable insights. Data engineering is the foundation of data science, and without it data science would not be possible.
Data exploration is an essential part of the data science process. 4Achievers is the process of examining, cleaning, and transforming data to gain insights and discover patterns. By exploring data, data scientists can identify trends, correlations, and outliers, as well as understand the context of the data. Data exploration is important because it helps data scientists to make informed decisions about their data analysis and modeling efforts, and it helps them identify potential problems and opportunities. Data exploration also helps data scientists to determine which variables are relevant and which are not, and to identify any potential relationships between variables. Ultimately, data exploration helps to uncover hidden insights, which can then be leveraged to create powerful predictive models or to draw conclusions about the data.
Data mining algorithms can be classified into several categories, including supervised and unsupervised algorithms, association rule learning algorithms, clustering algorithms, and anomaly detection algorithms. Supervised algorithms use known labels to predict the values of unknown data points. Unsupervised algorithms are used to find patterns and relationships in data without labels. Association rule learning algorithms use large datasets to identify relationships between variables. Clustering algorithms group data points into clusters based on their similarities. Anomaly detection algorithms identify unusual and unexpected data points in large datasets.
Data mining and data analysis are both techniques used to derive insights from data, but there are important differences between the two. Data mining involves using automated processes to identify patterns, trends, and correlations within large datasets. 4Achievers is often used to uncover insights that would be difficult to identify manually. Data analysis, on the other hand, involves the manual examination of data to identify patterns, trends, and correlations. 4Achievers is often used when a more in-depth understanding of data is needed, but it is limited by the amount of data that can be manually processed. In summary, data mining is more automated, while data analysis is more manual.
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4Achievers 4Achievers Data Science Training Program is designed to provide comprehensive coverage of the fundamentals of data science. 4Achievers consists of three main components: an introduction to data science, an exploration of data science techniques and tools, and a project-based learning experience. 4Achievers introduction to data science covers topics such as data collection, data analysis, data visualization, and machine learning. 4Achievers exploration of data science techniques and tools includes an in-depth look at data-driven decision-making, predictive analytics, and big data. Finally, the project-based learning experience provides students with real-world problems to solve and the opportunity to apply their knowledge of data science to solve them. 4Achievers program also includes hands-on activities, lectures, and tutorials to help students gain a deeper understanding of the concepts. Upon successful completion of the program, students receive a certificate of completion.
4Achievers does not offer additional training in Data Science after the completion of their program. However, they do provide resources and support to help their students stay up to date with the latest trends and best practices. 4Achievers resources available include practice materials, webinars, and exclusive access to industry-leading experts. Additionally, 4Achievers provides a comprehensive job placement program that provides students with access to career opportunities and interview preparation. This program also includes networking events and ongoing guidance throughout the process. Overall, 4Achievers offers the support and resources needed to ensure students are prepared to enter the field of Data Science and excel in their chosen profession.
4Achievers provides students with the tools and resources necessary to prepare them for working in the data science field. They offer courses to help students learn the skills needed to become a successful data scientist. They also provide guidance on how to develop the right mindset and attitude for the job. Additionally, 4Achievers provides mentorship resources to help students understand how to use their skills in the context of the industry. These mentors provide valuable insight into the challenges and opportunities available within the industry, as well as demonstrating how to use the skills acquired through the courses to create a successful career in data science. 4Achievers also provides resources to help students understand the different roles that are available in the data science field, giving them the opportunity to find a job that fits their skills and interests.
At 4Achievers, students are able to learn the fundamentals of data science through a range of projects. During their training, students can work on projects that involve data pre-processing, data exploration, data visualization, feature engineering, predictive modeling, and more. Through these projects, students gain a comprehensive understanding of the data science process, from initial data collection to the final deployment of models. Students will also learn to use a variety of tools, such as Python, R, SQL, and more. By the end of the training, students should have the necessary skills to apply data science to real-world problems and have the confidence to start their own data science projects.
4Achievers provides comprehensive assistance in placement after completion of the Data Science Training program. 4Achievers program offers a comprehensive training curriculum designed to prepare students to become successful Data Scientists. 4Achievers courses are designed to provide students with the skills and knowledge needed to be successful in the field. After completing the program, 4Achievers provides students with the resources necessary to secure internships and job opportunities. This includes career guidance, resume building, interview preparation, and networking. 4Achievers also provides access to job postings from employers looking for data scientists, as well as opportunities to apply for internships and jobs. Additionally, the program provides a wide range of contacts and connections in the data science industry that can help students to find the right opportunities. Ultimately, 4Achievers strives to help students maximize their potential and secure the best job opportunities available.
4Achievers provides comprehensive support to participants of their Data Science Training program. Participants receive access to a wide range of resources and tools to help them learn and grow. These resources include hands-on lab sessions, online lectures, and study materials to help them gain a better understanding of the topics covered in the program. 4Achievers program also provides a knowledgeable team of instructors who are available to answer questions and provide guidance and feedback throughout the course. Additionally, participants receive access to a global network of experts to help them network and advance their knowledge. 4Achievers also offers a free online discussion forum for participants to discuss their learning experience and gain insights from peers. Finally, 4Achievers provides post-training support to ensure that participants can continue to apply their knowledge and skills to their jobs.
Yes, 4Achievers Data Science Training Program is a widely recognized program in the industry. 4Achievers is designed to provide students with the necessary skills and knowledge to excel in the field of data science. 4Achievers program covers topics such as data analysis, machine learning, deep learning, natural language processing, data visualization, and more. In addition, the program also provides students with hands-on experience in working with data and creating projects.
4Achievers program is endorsed by industry experts, including those from Google, IBM, Microsoft, and Amazon. 4Achievers training program is also certified by several universities and colleges across the world. 4Achievers program has received positive reviews from students and industry professionals alike. 4Achievers program is also recognized by the International Association for Data Science (IADS).
4Achievers program is designed to provide students with the necessary skills and knowledge to become successful data scientists. 4Achievers equips them with the skills to analyze data and make informed decisions. 4Achievers program also provides students with the necessary tools to develop and deploy complex solutions to real-world data science problems.
Overall, 4Achievers Data Science Training Program is a highly recognized and respected program in the industry. 4Achievers provides students with the necessary knowledge and skills to excel in the field of data science.
4Achievers ensures its Data Science Training is comprehensive and in-depth by providing students with a comprehensive syllabus that covers a wide range of topics related to Data Science. 4Achievers syllabus includes topics such as introduction to data science, data exploration and analysis, machine learning algorithms, data visualization, data engineering, and advanced topics. Additionally, the courses are taught by experienced instructors who have in-depth knowledge and experience in the field. 4Achievers courses also include hands-on labs, workshops, and assignments to ensure students gain practical experience while learning the topics. Finally, 4Achievers provides students with support and resources to help them succeed in their Data Science Training.
4Achievers provides software applications and tools for its Data Science Training program to help students become successful. 4Achievers software tools used in the program include tools for data exploration and visualization such as Tableau and Power BI, tools for machine learning such as SciKit-Learn and TensorFlow, and tools for deep learning such as Keras and PyTorch. 4Achievers program also utilizes the Python programming language for data analysis and manipulation. In addition, the program provides students with an understanding of the fundamentals of data science and the ability to apply these principles to solve a variety of real-world problems. With the help of these applications and tools, students can become experts in data science and develop the skills to make an impact in the field.
Yes, 4Achievers provides hands-on experience to its Data Science Training participants. During the training, participants are provided with various practical exercises and projects to help them gain experience in different areas of data science. They are also provided with a range of tools and technologies to help them acquire the required skills. Additionally, 4Achievers provides access to industry experts to guide the participants and help them gain a better understanding of the subject. Furthermore, the participants are given the opportunity to work on live projects and gain a better understanding of how data science works in the industry. This helps them develop practical skills and apply them in the real world.
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Are you looking to find your next job in trending technology? 4Achievers has the perfect solution for you. 4Achievers software testing course will teach you everything you need to become a successful Expert. Not only that, but 4Achievers program is available online and offline class and can be completed in just a few weeks. so don't wait any longer and sign up today!
First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
4Achievers offers the step-by-step guide to get your dream job after completing Course.