Data Analytics Training in Noida – Learn Data Skills with Expert Trainers
Increase your the power of data with our complete Data Analytics Training in Noida at Appwars Technologies. Designed for beginners and professionals alike, this program covers everything from data visualization, Excel, SQL, Python, Power BI to live case studies and live projects. Learn from industry experts with practical experience and gain practical skills that are in high demand across top industries. Whether you’re aiming to start your career in analytics or upskill for better opportunities, our training offers the perfect launchpad. Join us today and become a certified data analyst ready to take on the digital future with confidence.
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Data Analytics Course Content
● Syntax and Semantics of Python programming
● Python History
● Versions of Python
● Features of Python
● Input and Output Functions
● Variable and Data Types
● What is a Variable
● Typecasting
● Data Types in Python
o Numeric
o String
o Boolean
o Compound
o List
o Tuple
o Set
o Frozen Set
o Dictionary
● Operators in Python
● Conditional Statements in Python
● Loops in Python
● User defined functions in python
● Strings in Python
● Creating arrays
● Array indexing
● Array slicing
● Numpy Data Types
● Copy vs View
● Array Shape
● Array reshape
● Iterating
● Join
● Search
● Filter
● Split
● Sort
● Pandas Series
● Pandas DataFrame
● Read CSV
● Read JSON
● Cleaning Data
● Missing Value Handling
● Optimizing Data Format
● Redundancy Minimization
● The corr() function
● Plotting Graphs in pandas
● Introduction to Data Analytics
● Brief history of Data Analytics
● What is Data Analytics?
● Why is Data Analytics important?
● What benefits does Data Analytics have?
● Text to Columns
● Concatenate
● Right with Concatenate
● Absolute Cell Reference
● Data Validation
● Time and Date Calculations
● Conditional Formatting
● Exploring Styles and clear formatting
● Using Conditional Formatting to hide details using the IF function
● pivot table
● pivot chart
● slicers
● creating charts
● MYSQL Server Basics
● Database models
● ER Model Overview
● Data types
● Understanding Test Database
● Basics Queries
● Removing Duplicates
● Data Filters Using Operators
● Data Sorting
● Grouping
● Joins
● Arithmetic and String functions
● Advanced Functions
● SET Operators
● Creating Complex Queries
● DML operations – Insert, Update & Delete
● TSQL
● Introduction to Power BI
● Report Visualization and Properties
● Chart and Map Report Properties
● Hierarchies and Drilldown Reports
● Power Query & M Language
● DAX EXPRESSIONS – Level 1
● DAX EXPRESSIONS – Level 2
● Power BI Cloud Operations
● Improving Power BI Reports
● Insights and Subscriptions
● Power BI Integration Elements
● High-Level overview of Data Science / Machine Learning project management methodology
● Random Variable and its definition
● Probability and Probability Distribution
● Balanced vs Imbalanced datasets
● Sampling Funnel, its application and its components
● Measure of central tendency
● Measure of Dispersion
● Expected value of probability distribution
● Measure of Skewness
● Measure of Kurtosis
● Various graphical techniques to understand data
● Installation of Python IDE
● Anaconda and Spyder
● Working with Python with some basic commands
● Normal Distribution
● Standard Normal Distribution / Z distribution
● Z scores and Z table
● QQ Plot / Quantile-Quantile plot
● Sampling Variation
● Central Limit Theorem
● Sample size calculator
● T-distribution / Student’s-t distribution
● Confidence interval
● Parametric vs Non-parametric tests
● Formulating a Hypothesis
● Choosing Null and Alternative hypothesis
● Type I and Type II errors
● Comparative study of sample proportions
● ANOVA
● 2 Proportion test
● Chi-Square test
● Non-Parametric test
● Non-Parametric test continued
● Hypothesis testing using Python
● Scatter Diagram
● Correlation Analysis
● Principles of Regression
● Introduction to Simple Linear Regression
● R shiny and Python Flask
● Multiple Linear Regression
● Scatter diagram
● Ordinary least squares
● Principles of regression
● Splitting the data into training, validation and testing datasets
● Understanding Overfitting vs Underfitting
● Generalization error and Regularization techniques
● Introduction to Simple Linear Regression
● Heteroscedasticity / Equal Variance
● LINE assumption
● Multiple Linear Regression
● Model Quality metrics
● Deletion diagnostics
● Principles of Logistic Regression
● Types of Logistic Regression
● Assumption and Steps in Logistic Regression
● Analysis of Simple Logistic Regression result
● Multiple Logistic Regression
● Confusion matrix
● Receiver operating characteristics curve (ROC curve)
● Lift charts and Gain charts
● Lasso and Ridge Regressions
● Logit and Log Likelihood
● Category Baselining
● Modeling Nominal categorical data
● Supervised vs Unsupervised learning
● Data Mining Process
● Measure of distance
● Types of Linkages
● Hierarchical Clustering / Agglomerative Clustering
● Non-clustering
● Why dimension reduction
● Advantages of PCA
● Calculation of PCA weights
● 2D Visualization using Principal components
● Basics of Matrix algebra
● SVD – Decomposition of matrix data
● Definition of a network (the LinkedIn analogy)
● Measure of Node strength in a Network
● Introduction to Google Page Ranking
● What is Market Basket / Affinity Analysis
● Measure of association
● Apriori Algorithm
● Sequential Pattern Mining
● User-based collaborative filtering
● Measure of distance / similarity between users
● Driver for recommendation
● Computation reduction techniques
● Search based methods / Item to item collaborative filtering
● SVD in recommendation
● Vulnerability of recommender systems
● Sources of data
● Bag of words
● Pre-processing, corpus DTM and TDM
● Word Clouds
● Corpus level word clouds
● Semantic network
● Clustering
● Extract Tweets from Twitter
● Extract user reviews of the products from Amazon, Snapdeal and TripAdvisor
● Install Libraries from Shell
● Extraction and text analytics in Python
● Elements of Classification Tree – Root node, Child Node, Leaf Node, etc.
● Greedy algorithm
● Measure of Entropy
● Attribute selection using Information Gain
● Ensemble techniques
● Decision Tree C5.0 and understanding various arguments
● Random Forest and understanding various arguments
● Boosting / Bootstrap Aggregating
● AdaBoost / Adaptive Boosting
● Stacking
● Gradient Boosting
● Extreme Gradient Boosting (XGB)
● Artificial Neural Network
● Biological Neuron vs Artificial Neuron
● ANN structure
● Activation function
● Network Topology
● Support Vector Machines
● Classification Hyperplanes
● Best fit “boundary”
● Kernel Trick
● Introduction to time series data
● Steps of forecasting
● Components of time series data
● Scatter plot and Time Plot
● Lag Plot
● ACF – Auto-Correlation Function / Correlogram
● Visualization principles
● Naive forecast methods
● Errors in forecast and its metrics
● Model Based approaches
● Model-Based approaches
● AR (Auto-Regressive) model for errors
● Random walk
● ARMA (Auto-Regressive Moving Average), Order p and q
● ARIMA (Auto-Regressive Integrated Moving Average), Order p, d and q
● Data-driven approach to forecasting
● Smoothing techniques
● De-seasoning and de-trending
● Econometric Models
● Forecasting Best Practices
● Forecasting using Python
1. Iris Flowers Classification
2. Loan Default Prediction
3. Real Estate Price Prediction
4. Stock Price Prediction
5. Titanic Survival Classification
6. Breast Cancer Classification
7. Music Genre Classification
8. Fake News Detection
9. Credit Card Fraud Detection
10. Movie Recommender System
Our Placed Students

Skill & Tools That You will Learn

Excel

python

Power Bi

SQL

Tableau
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Introduction to Data Analytics
Data analytics refers to the systematic computational analysis of data, an essential practice that has gained immense significance in today’s business landscape. Organizations are progressively leaning towards data-driven decision-making, utilizing vast amounts of data to derive insights that can propel their performance, enhance customer satisfaction, and streamline operations. This approach allows businesses to understand their market better, predict trends, and personalize customer experiences, ultimately leading to a more competitive edge.
The surge in digital information has rendered data analytics a crucial tool in various sectors, including finance, healthcare, retail, and technology. Skilled data analysts are now viewed as pivotal assets, enabling companies to transform raw data into meaningful information. As organizations continue to prioritize data as a core component within their workflows, the demand for proficient data analysts is witnessing substantial growth. This trend highlights the importance of investing in quality data analytics training in Noida, which empowers individuals with necessary skills and knowledge.
Moreover, as the volume of data generated across digital platforms skyrockets, the need for sophisticated analytical skills has never been more pressing. Data analytics courses in Noida offer structured learning paths that cover essential topics such as statistical analysis, data visualization, and predictive modeling. By engaging in these training programs, participants can remain relevant in the fast-paced digital economy and utilize data to make informed, strategic business decisions.
In essence, the modern business environment implicitly relies on data analytics to drive success. By understanding the significance of data and honing their analytical skills through comprehensive courses, aspiring data analysts can position themselves to capitalize on vast career opportunities that await in this ever-evolving field.
Why Choose Appwars Technologies for Data Analytics Training?
When considering data analytics training in Noida, Appwars Technologies stands out for several compelling reasons that cater to both aspiring data analysts and seasoned professionals looking to upgrade their skills. One of the primary advantages of choosing Appwars is its extensive expertise in the field of data analytics. With years of experience in delivering high-quality educational programs, the institute has established itself as a frontrunner in Noida’s training landscape.
An essential attribute of Appwars Technologies is its team of experienced instructors. These professionals possess not only advanced academic qualifications but also practical experience in data analytics across various industries. This combination of knowledge allows them to impart valuable insights and real-world applications through their teaching. Students benefit from their expertise, and guidance fosters not only technical competencies but also critical thinking skills that are vital in the analytics domain.
The modern infrastructure at Appwars Technologies further enhances the learning experience. Equipped with state-of-the-art facilities and the latest software tools, the training environment reflects industry standards. This setup allows participants to work on current platforms and gain hands-on experience, which is instrumental in mastering data analytics concepts. Practical exposure is crucial in a field like data analytics, where familiarity with tools such as R, Python, and SQL can be the game-changer in one’s career progression.
Moreover, Appwars Technologies emphasizes real-world project exposure as an integral part of its data analytics course in Noida. Participants engage in projects that simulate actual industry scenarios, enabling them to apply theoretical knowledge to practical situations. Such experience not only enriches the learning journey but also makes candidates more attractive to potential employers in a competitive job market.
Data Analytics Training Curriculum Overview
Obtaining a strong foundation in data analytics is imperative for professionals pursuing careers in this rapidly evolving field. The data analytics training in Noida offered by Appwars Technologies provides an extensive curriculum designed to equip students with the essential skills required to excel in the industry. The training encompasses a comprehensive range of modules that cover both theoretical knowledge and practical applications.
One of the primary modules in this data analytics course in Noida focuses on data analysis tools. Students will be introduced to various software applications such as Excel, R, and Python, which are crucial for data manipulation and visualization. Through hands-on practice, learners will understand how to gather, clean, and analyze data effectively, providing them with a strong base to build upon.
Another significant aspect of the curriculum is statistical techniques. Understanding statistical analysis is fundamental for interpreting data accurately. The course will delve into hypothesis testing, regression analysis, and other statistical methods that enable learners to derive meaningful insights from large data sets. This knowledge is vital for making data-driven decisions in any enterprise.
The integration of machine learning concepts further enhances the curriculum. Students will explore various algorithms, model training, and evaluation methods, which are essential for predictive analytics. By the end of this module, participants will be proficient in developing machine learning models that can adapt and provide predictions based on new data.
Ultimately, the training curriculum of the data analytics training in Noida is meticulously structured to ensure that students acquire a balanced mix of analytical skills, practical experience, and theoretical understanding, preparing them for an array of career opportunities in analytics and data science.
Experience and Projects of Data Analytics training
The importance of practical experience in education cannot be overstated, especially in the field of data analytics. Appwars Technologies emphasizes a hands-on learning approach in its data analytics training in Noida, ensuring that students not only gain theoretical knowledge but also apply this knowledge in real-world scenarios. This methodology enhances the learning experience and prepares them for the challenges they will face in their careers.
During the training program, students engage in various projects that cover a wide range of topics within data analytics. These projects allow participants to work with actual datasets, conduct analyses, and derive meaningful insights. For instance, they may work on projects involving data cleaning, data visualization, or predictive modeling. By undertaking such hands-on assignments, students become adept at using tools and technologies that are prevalent in the industry.
Furthermore, the projects designed by Appwars Technologies are tailored to simulate real-world challenges. This practical approach helps students develop problem-solving skills necessary for a successful career in data analytics. They learn to interpret data trends, make informed decisions based on data, and communicate their findings effectively. By the end of the training program, students emerge with a robust portfolio that showcases their ability to tackle real-life analytical problems, making them highly attractive to potential employers.
Additionally, the collaborative nature of the projects facilitates teamwork and enhances communication skills, essential traits for a career in data analytics. This experiential learning strategy ensures a thorough understanding of concepts, fostering confidence in students as they transition from the classroom to the workplace. Overall, the blend of theoretical and practical training further solidifies the value of the data analytics course in Noida offered by Appwars Technologies, equipping students for the demands of the industry.
Career Opportunities After Data Analytics Training
The completion of a data analytics training program in Noida can significantly open doors to a multitude of career opportunities. As businesses increasingly rely on data to drive decision-making, the demand for skilled data analysts is surging across various sectors, including finance, healthcare, retail, and technology. Graduates from a reputable data analytics course in Noida are well-prepared to meet this demand, armed with the essential skills required to interpret complex data sets and provide actionable insights.
Upon completing their training, individuals can seek numerous roles. Common job titles for data analytics graduates include Data Analyst, Business Intelligence Analyst, Data Scientist, and Data Engineer. Each of these positions requires a distinct set of skills, but they share a common foundation in data analysis. For instance, a Data Analyst typically focuses on examining datasets to identify trends and patterns, while a Data Scientist may delve deeper into predictive modeling and machine learning techniques.
Salary prospects for data analytics professionals also present an attractive proposition. In Noida, entry-level data analysts can expect salaries ranging from INR 4 to 7 lakhs per annum, depending on their proficiency and the hiring company. As analysts gain experience and deepen their expertise, they can ascend to higher roles, commanding salaries upwards of INR 12-20 lakhs annually in senior positions. Professional certifications earned alongside the data analytics course in Noida can further enhance earning potential and career advancement opportunities.
Industries actively seeking data analytics talent are diverse, spanning finance, retail, telecommunications, and e-commerce, among others. Companies in these sectors are keen to leverage data analytics to optimize operations, improve customer experiences, and make informed strategic decisions. Therefore, pursuing data analytics training in Noida not only equips individuals with vital skills but also positions them as competitive candidates in a thriving job market.
Success Stories of Past Students
The impact of quality education in the realm of data analytics is quite evident through the success stories of former students who have completed their data analytics training in Noida at Appwars Technologies. Many of these individuals have transformed their careers, landing prestigious roles in distinguished companies across various industries. These testimonials serve as a testament to the effectiveness of the training program in equipping students with the necessary skills to thrive in a competitive job market.
For instance, one notable success story involves a former student, Rahul Sharma, who embarked on his journey with limited knowledge of data analytics tools. After enrolling in the data analytics course in Noida provided by Appwars Technologies, he garnered substantial expertise in data visualization, statistical analysis, and machine learning. Today, Rahul works as a Data Analyst at a leading technology firm, where he plays a crucial role in driving data-driven decision-making processes. His ability to interpret complex datasets has not only earned him recognition within his company but has also positioned him for future promotions.
Another inspiring account is from Priya Desai, who initially worked in a non-technical role. After completing the data analytics training in Noida, she transitioned to a Business Intelligence position within her organization. Priya frequently highlights how the practical approach of the course, coupled with real-world projects, enabled her to apply theoretical concepts effectively. Currently, she is developing predictive analytics models that have significantly improved her company’s operational efficiencies.
These stories, among many others, reflect the positive influence of data analytics training on career trajectories. Former students not only obtain valuable technical skills but also gain the confidence to navigate their professional paths successfully. As they continue to excel in their careers, they stand as inspirational figures for prospective students considering the data analytics course in Noida at Appwars Technologies.
Enrollment Process and Requirements
Enrolling in a data analytics training program in Noida, particularly through Appwars Technologies, is a straightforward process designed to guide prospective students from inquiry to admission. To begin, candidates should familiarize themselves with the prerequisites. Typically, applicants should possess a basic understanding of statistics and a familiarity with Excel or similar tools. While prior experience in programming or data analysis is not mandatory, it can be beneficial for those looking to deepen their expertise during the course.
The application process consists of several steps. Interested candidates must first complete an online application form available on the Appwars Technologies website. This form captures essential details such as educational background, previous work experience, and specific interests within the data analytics field. After submission, applicants may be required to participate in a preliminary assessment. This assessment aims to gauge their analytical skills and understanding of fundamental concepts. Successful candidates will receive notification regarding their acceptance into the data analytics course in Noida.
It is essential to be aware of important dates related to enrollment. The course typically has defined start dates, and applicants are encouraged to submit their applications at least a month prior to the course commencement. Keeping track of deadlines is crucial, as late submissions may result in exclusion from the current batch. Regarding documentation, candidates usually need to provide identification, academic transcripts, and proof of any previous qualifications related to the field of study.
Overall, the enrollment process for data analytics training in Noida is designed with clarity to ensure that all candidates have a smooth transition into the program. Preparing the necessary documentation and adhering to deadlines will enhance the likelihood of securing a spot in this valuable training opportunity.
Additional Resources and Support
Appwars Technologies recognizes that the journey of mastering data analytics requires more than just theoretical knowledge. Committed to ensuring the success of its students, the organization provides a robust framework of additional resources and support services tailored for participants of its data analytics training in Noida.
One of the key features of this training program is the mentorship opportunities available to students. Experienced professionals from the industry offer guidance and insights, helping learners navigate the challenges of becoming adept in data analytics. Structured mentorship sessions are a vital element of the learning experience, empowering students to ask questions and receive personalized advice aimed at enhancing their skills and knowledge. This collaborative approach fosters a deeper understanding of complex concepts, ensuring that students can apply their learning effectively in real-world scenarios.
Additionally, students enrolled in the data analytics course in Noida benefit from access to a wealth of online materials. These resources include curated study materials, webinars, and interactive forums, all designed to enhance the learning experience. This extensive library of resources enables students to grasp fundamental principles of data analytics at their own pace, reinforcing classroom learning with flexible, on-demand content.
Further extending support, Appwars Technologies also offers career counseling services that facilitate job placements and internships. Career advisors assist students in refining their resumes and preparing for interviews, equipping them with the tools necessary for succeeding in the competitive job market. Networking opportunities, such as alumni events and industry meetups, are also organized to connect students with professionals and potential employers, fostering valuable relationships within the field of data analytics.
Overall, these resources and support services highlight Appwars Technologies’ dedication to not just providing a data analytics course in Noida but also ensuring that every student feels supported throughout their educational journey and beyond.
Who can apply for the course?
BE / BTech / MCA passed aspirants to make their careers as Web Developers / Data Scientists
IT-Professionals who want to get a career as a Programming Expert
Professionals from non-IT bkg, and want to establish in IT
Candidates who would like to restart their career after a gap
Web Designers for the next level of their career.

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Student Testimonials
EXCELLENT Based on 509 reviews Jatin Kalsi2025-07-24Trustindex verifies that the original source of the review is Google. I would like to express my appreciation for Vivek Pandey Sir and their exceptional coaching. Their dedication, clear explanations, and consistent encouragement have made a significant impact on my learning. They not only teach the subject thoroughly but also ensure that each student understands the core concepts deeply. What stands out the most is their approachable nature and willingness to help beyond regular class hours. He create a positive and focused learning environment that motivates students to perform their best. Thanks to their structured teaching methods, I’ve seen real improvement in my understanding and confidence. I highly recommend Vivek Pandey Sir to any student looking for effective and supportive coaching. Would you like this made more formal, emotional, or specific Aryan Rohilla2025-07-24Trustindex verifies that the original source of the review is Google. During my web development internship,The session was conducted by Vivek Pandey.I had the opportunity to work on real-world projects and enhance my technical and soft skills. The internship provided hands-on experience with technologies such as HTML, CSS, JavaScript, I was involved in designing responsive web pages, debugging code, and collaborating with team members through version control systems like Git. νινєк яαʝρυт2025-07-24Trustindex verifies that the original source of the review is Google. I got the opportunity to learn web development at Appwars Technology, Noida, under the guidance of Vivek Pandey Sir, and it was truly an enriching experience. He doesn't just teach coding but ensures that every concept is understood thoroughly with real-world applications. His method is practical and industry-focused, making it easier to grasp. He pays individual attention to every student and is always ready to clear doubts with patience and clarity. If you're looking to learn Web development, I highly recommend Vivek Pandey Sir. Vansh Jaat2025-07-24Trustindex verifies that the original source of the review is Google. I had the opportunity to complete my internship under the guidance of a highly knowledgeable and supportive mentor Vivek pandey. The overall experience was extremely enriching and insightful. My mentor's way of teaching was exceptionally clear, practical, and inspiring. Complex concepts were explained with simplicity, making learning both easy and enjoyable. What stood out the most was the mentor’s ability to connect theoretical knowledge with real-world applications. I gained not just technical skills but also learned the importance of discipline, time management, and attention to detail. Regular feedback and constructive suggestions helped me improve continuously throughout the internship. This internship has significantly boosted my confidence and skills, and I am truly grateful to my mentor for their excellent guidance and encouragement. Sahil Kumar2025-07-24Trustindex verifies that the original source of the review is Google. I had a great experience learning from VIVEK PANDEY. Their teaching style is clear, focused, and supportive. They have a deep understanding of the subject and always make sure every student is following along. What I appreciated most was their patience and the way they explained even difficult concepts in a simple, understandable way. They were always available to clear doubts, provided helpful materials, and encouraged regular practice. Thanks to their guidance, my confidence and performance improved significantly. I would highly recommend VIVEK PANDEY to anyone looking for dedicated and effective coaching. Nishtha Awasthi2025-07-24Trustindex verifies that the original source of the review is Google. I had the privilege of learning Web Development under the guidance of Vivek Pandey Sir, and it has been an absolutely amazing experience! His way of teaching is not only clear and beginner-friendly, but also deeply insightful, making even complex topics feel easy and engaging. From HTML, CSS, and JavaScript to more advanced concepts, Sir explains everything with real-world examples and hands-on practice. He ensures every student understands the "why" behind each concept, not just the "how." His sessions are always well-structured, interactive, and full of energy, keeping us motivated and excited to learn more. What sets Vivek Sir apart is his passion for teaching, his dedication to student success, and his awesome communication skills. He creates a supportive learning environment where doubts are welcomed and everyone feels encouraged to grow. If you're looking to build a solid foundation in web development with someone who truly cares about your learning journey, Vivek Pandey Sir is the best mentor you can have! Thank you, Sir, for making web development fun, practical, and awesome! muheeb khan2025-07-24Trustindex verifies that the original source of the review is Google. I had a great learning experience at Appwars Technologies under the counselor jyoti mam guidance of Vivek Sir. His teaching style is very clear, practical, and easy to understand, even for beginners. He always encouraged us to ask questions and provided real-world examples to explain every concept. The environment was supportive and motivating. I have gained a lot of knowledge and confidence during this time. I truly appreciate the efforts and dedication of Vivek Sir and the Appwars team. Highly recommended for anyone looking to build strong technical skills. Tushar Vashishth2025-07-20Trustindex verifies that the original source of the review is Google. Excellent satisfaction for me . The teaching style of aman sir is very good . He always motivate the students to work on real time projects and always helps. Provide numerous opportunities of jobs . Best for all Certification course related to IT. Priyanka mam always helps us to solve our queries about class timings and other queries.Verified by TrustindexTrustindex verified badge is the Universal Symbol of Trust. Only the greatest companies can get the verified badge who has a review score above 4.5, based on customer reviews over the past 12 months. Read more