Data Analytics Training in Noida
● 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
Key Highlights
40 Hrs Instructor Led Training
22 Hrs Self-paced Videos
56 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Future Upgrade
Mentor Support
Some Success Stories
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.
Features
Experienced Mentors
APPWARS Technologies Pvt Ltd has highly-skilled & experienced mentors from Industry, proficient in their particular technologies.
Assignment
Stay sharp & focused with unlimited access to Coding Problems & Assignments during your training.
Certification
Appwars Technologies Pvt Ltd is an MSME, Govt of India approved Company, and registered with the Ministry of Corporate Affairs.
Live Interactive Session
Get Live sessions from the comfort of your place with well-maintained quality & pace to make you understand better.
Live Project
Experience working on Real-time Projects to have in-depth, practical knowledge of your technology.
100% Placement assistance
With more than 1000+ Placement Partners. Get endless opportunities to get placed in these Small & Medium Companies
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.
Top Reasons to Choose Appwars technologies
- MSME, Govt of India Approved
- M.C.A. Registered
- ISO Certified
- Internship Certificate
- Project Letter
- 10-15 students per batch
- Live Projects
- 100% Job Assistance
- Interview Preparation
- Mock interviews
- Assessment Test
- CV Building
- GitHub & LinkedIn sessions
- Live Online, Offline & Hybrid Mode of Training
- IBM Vouchers & e-courseware available*
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.
Time Duration for Data Analytics Course
- Regular Classes: 5 Days a week (Morning, afternoon and Evening)
- Weekend Classes: (Saturday and Sunday)
- Fast Track Classes also Available
- One to One Classes also Available
- Corporate Training also Available
- Live Online Classes also Available
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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.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
GALLERY
Frequently Asked Questions
Data analytics training teaches students how to analyze, interpret, and visualize data to make data-driven decisions, focusing on tools, techniques, and industry best practices.
Appwars Technologies offers expert-led training with real-world projects, hands-on experience, and industry-recognized certifications to help students build strong data analytics skills.
Our course covers data collection, cleaning, analysis, visualization, statistical analysis, SQL, Python, Excel, and Tableau, among other key topics.
Anyone interested in data-driven careers, including students, graduates, and working professionals from various backgrounds, can join our data analytics program.
What career opportunities are available after completing data analytics training?
Yes, Appwars Technologies provides placement assistance, including interview preparation and job referrals, to help students secure relevant positions.
Our data analytics course typically spans 3-4 Months, with both part-time and full-time options available.
Basic knowledge of mathematics and Excel is helpful, but our beginner-friendly course is designed to accommodate learners with no prior experience.
You’ll gain hands-on skills in data cleaning, statistical analysis, data visualization, and using tools like SQL, Python, and Tableau to analyze real-world data.
You can enroll by visiting our website or contacting our Noida center directly. We’ll guide you through the registration process and answer any questions.
