4.9 out of 5 based on 4000 Students Rating
• Definition and Future Scope of Data Analytics
• Importance of Data in Decision-making processes
• Types of Data Analytics:
o Descriptive
o Diagnostic
o Predictive
o Prescriptive
• Data Analytics Process:
1) Defining the Problem
2) Data Collection
3) Data Cleaning and Preprocessing
4) Data Exploration and Analysis
5) Model Building
6) Implementation and Monitoring
• Common tools that are used in Data Analytics
o Excel
o R
o Python
o SQL
o Tableau
o Power BI
• Applications of Data Analytics across Various Industrial Sectors
• Descriptive Statistics
o Measures of Central Tendency:
1) Mean
2) Median
3) Mode
o Measures of Dispersion:
1) Range
2) Variance
3) Standard Deviation
4) Interquartile Range(IQR)
Measure of Shape:
1) Skewness
2) Kurtosis
• Inferential Statistics
o Sampling Techniques –
1) Random Sampling
2) Sampling Bias
o Central Limit Theorem
o Confidence Intervals
o Hypothesis Testing:
1) H0
2) H1 or Hα
3) Test Static
4) P-value
5) Significance Level(α)
o T-tests
o Chi-square tests
o ANOVA
• Correlation vs Causation
• Statistical Significance and A/B Testing
• Application of Statistics in Real-world Problems
• Introduction to R and Python for Analytics
• Basics of Programming :
o Variables
o Data Types
o Operators
o Control Flow Structure –
1) Conditional Statements (if/elif/else)
2) Loops (for/while)
o Data Structures – (Lists, Tuples, Dictionaries, Sets)
o Functions
o Object Oriented Programming –
1) Classes and Objects
2) Methods
3) Inheritance
4) Polymorphism
5) Encapsulation
6) Error Handling
• Exploratory Data Analysis (EDA) with R and Python
• Working with Data using Libraries like below:
o Pandas
o Numpy
o Dplyr
o Matplotlib
o Seaborn
o Scikit-Learn
o Scipy
o SQLAlchemy
• Handling Data Input/Output
1) CSV
2) Excel
3) JSON
• Using RStudio and Jupyter Notebooks for Data Analysis
• Utilizing dplyr for Data Manipulation Tasks
o Data Cleaning
o Adding/Modifying Variables
o Joining Datasets
o Chaining Operations
• Tidying Data with tidyr: Reshaping and Transforming
o Wide-to-Long Reshaping
o Long-to-Wide Transformation
o Separating/Combining Columns
o Handling Missing Data
• Filtering, Selecting, Arranging, and Summarizing Data Efficiently
o Filtering Rows
o Selecting Columns
o Arranging Data
o Summarizing Data
• Understanding R syntax and IDE (RStudio) for data manipulation
• Data Structures in R :
o Vectors
o Lists
o Matrices
o Data Frames
• Data Wrangling using Tidyverse Packages (like dplyr, tidyr)
• Advanced Data Transformation:
o Merging
o Joining
o Reshaping
• Time-Series Data Manipulation
o Formatting Date-Time Objects
o Time-Based Filtering
o Aggregating Time-Series Data
o Handling Missing Time Points
o Time-Series Analysis
Handling Categorical and Text Data
o Categorical Data Transformation
o One-Hot Encoding
o Text Cleaning
o Pattern Matching
o Text Analysis
• Data Integration with Databases and External Files
o Connecting to Databases
o Reading External Files
o Writing Data
o Merging External Datasets
• Importance of Data Visualization
• Visualization Tools and Libraries:
o Tableau
o Power BI
o ggplot2 (R)
o matplotlib/seaborn (Python)
• Creating Different Chart Types:
o Bar Graph
o Pie Chart
o Scatter Plot
o Histograms
o Box plots
• Dashboards and Interactive Visualizations:
o Tools for Building Dashboards
1) Shiny
2) Flexdashboard
3) Plotly and ggplot2 Integration
4) Dash (Python)
o Interactive Visualization Techniques
o Data Presentation
o Export and Sharing Options
• Data Storytelling:
o Interpreting Data Insights
o Presenting Visual Data Insights
• Data Acquisition Methods:
o APIs
o Web Scraping
o SQL Databases
• Structured vs Unstructured Data
• Cleaning Data:
o Dealing with Missing Values
o Removing Duplicates
o Eradicating Inconsistencies
• Data type Conversions and Normalization
• Feature Creation and Transformation
• Basics of SQL:
o Relational Databases
o DDL Commands:
1) Create
2) Alter
3) Truncate
4) Drop
o DML Commands:
1) Insert
2) Update
3) Delete
o DQL Commands: Select
o SQL Clauses:
1) Where
2) Group By
3) Order By
SQL JOINS:
1) Inner Join/Join
2) Left join/Left Outer Join
3) Right Join/Right Outer Join
4) Full Join/Full Outer Join
5) Self Join
6) Cross Join
• Advanced SQL Queries:
o Subqueries
o Window Functions
o CTEs
• Data Aggregation and Filtering
• Working with Relational Databases and Connecting with R/Python
• Introduction to Predictive Modeling
• Linear and Logistic Regression
• Model Evaluation:
o RMSE
o MAE
o ROC-AUC
• Overfitting,
• Underfitting
• Model tuning
• Using Analytics Tools for Predictive Models:
o caret in R
o scikit-learn in Python
• Understanding Supervised Learning Concepts and Objectives
o Learning Patterns
o Prediction
o Error Minimization
o Applications
• Implementing Regression Algorithms for Predicting Continuous Outcomes
o Linear Regression
o Polynomial Regression
o Ridge and Lasso Regression
o Evaluation Metrics
• Exploring Classification Algorithms for Predicting Categorical Outcomes
o Logistic Regression
o Decision Trees
o Random Forest
o Support Vector Machines (SVM)
o K-Nearest Neighbors (KNN)
o Evaluation Metrics
• Introduction to Unsupervised Learning
• K-Means Clustering
• Hierarchical Clustering
• Cluster Validation Techniques :
o Elbow Method
o Silhouette Score
• Customer Segmentation
• Market Basket Analysis
• Usecases of Clustering in Business
• Text Analytics Fundamentals
• Preprocessing Text:
o Tokenization
o Stopwords
o Stemming
o Lemmatization
• Sentiment Analysis using R/Python
• Text Classification
• Topic Modeling
• Visualizing Textual Data
o Word Clouds
o Frequency Plots
• Real-life Applications of NLP in Analytics
• Basic Understanding of Deep Learning and Neural Networks
• Evolution of Deep Learning
• Exploring the Diverse Applications and Significance of Deep Learning across Various Domains
• Introduction to Artificial Neural Networks (ANNs) and their Architecture
• Understanding:
o Neurons
o Layers
o Weights
o Activation Functions
• Mechanisms of Feedforward algorithms
• Mechanisms of Backpropagation algorithms
Overview of Deep Learning Frameworks:
o TensorFlow
o PyTorch
• Constructing and Training Simple Neural Networks for Analytical Tasks
• Merits and Limitations of Deep Learning in Analytics
4.9 out of 5 based on 4000 Students Rating
In today's fast-paced world, there is an increasing need for data analysts within enterprises. Organizations now understand the value of data analysis in helping them make better decisions that will lead to successful commercial pursuits. There is undoubtedly a growing need for a Data Analytics Training Institute in Noida, a tech hotspot. If one wishes to begin a lucrative career in data analytics, the finest course might be a Data Analytics Course in Noida. Data analytics has led to an increased focus on data management, as information is now valued highly and used by businesses to gain a competitive advantage. In this way, data analysts help the organization succeed by providing valuable information. Furthermore, talking about the big city. Noida is a centre for technology that has seen an increase in the demand for data analytics. Since most businesses are making significant investments in cutting-edge technologies, there is a demand for qualified data analysts who can provide the company with the data needed to run a successful business. Choose GICSEH if you want to enrol in Data Analytics Course in Noida. It is becoming more and more well-known for its capacity to give students the skills and resources they need to pursue a lucrative career in Data Analytics.
Growing Demand for Data Analysts and the Importance of Data Analytics Training in Noida
These days, data analysts are important to companies. As a result, it is the data analyst's major role to collect, process and represent data in a way that is meaningful with information that can be used to run a successful operation. Data can also be used for the strategic decisions that will allow you to compete better than your competitors. Data informs. Data is also better decision-making, customer experience, and more effective operational management. These types of technological advances will require data analysts in every organization from manufacturing, and finance, to e-commerce. The future of data analytics and its role in establishing business data strategies will only continue to expand and grow in importance.
Why Data Analysts Are Crucial to Modern Businesses
The role of data analysts is integral when it comes to translating raw data into useful information. Data analysts are responsible for collecting data, organizing data, analyzing data, and reporting data to assist organizations with smarter decision making. They bridge the gap from data to strategy, whether its improving customer retention, predicting market developments, or seeing patterns in operational inefficiencies.
In today’s fast-paced world where businesses need to be quick and accurate, and data analysts provide tremendous value by helping organizations:
• Make strategic decisions based on data
• Understand how to allocate their resources
• Identify missing market opportunities
• See patterns with customer behavior
• Better serve their current products or services
Data Analytics: A Tool for Competitive Advantage
Data Analytics Training in Noida has become the new currency of business. The quality of information combined with the ability to interpret and react to data properly can often determine if an organization has the upper hand or not. This is where advanced data analytics plays a significant part in offering business insight. With strong data analytics, organizations can monitor KPIs in real time, react quickly to changes in the market, and question their organization or strategy long-term. To illustrate, for an e-commerce company data analytics can facilitate personalized user experiences, while potentially increasing conversion rates.
The area of finance where organizations must assess risk or peer into the likelihood of fraud is heavily reliant on data. In manufacturing, data analytics is used for inventory management and predictive maintenance. The numerous applications of analytics is evidence of the capabilities of data analytics, and it’s power to revolutionize traditional organizations.
Industries Fueling the Demand for Data Analysts
The demand for data analysts is not limited to a single industry. Nearly every industry uses data to drive its decisions. Here are the major industries hiring data analysts:
• IT
• Healthcare
• Retail and E-commerce
• Banking and Finance
• Telecommunications
• Manufacturing
• Marketing and Advertising
These industries each deal with large amounts of data on a daily basis, and they need experienced data analysts to help understand the trends and patterns that can support their operational or strategic goals.
The Future Scope of Data Analytics Training in Noida
Data analytics course in Noida is an evolving and bright future ahead. The emergence of artificial intelligence (AI), machine learning, big data, and cloud computing makes the role of data analyst essential. Analysts will be critical for businesses, not only for interpreting what happened in the past, but will also provide predictive insight on what companies should do about the future. There will be even more data generated as organizations embrace automation and digital tools. This results in more roles for individuals who are able to make sense of all this data
Noida: A Thriving Hub for Data Analytics Education and Careers
Coursework in Data Analytics Training Institute in Noida is specifically developed to support this burgeoning economy. Anyone wanting to learn about the practices of data analyst will receive instruction and full courses to take from GICSEH as there will be a upcoming demand for data analyst, who can find high paying positions in the largest firms and even, financial, technology and multinational corporations. The course contains training in analytics as well as, an opportunity for participant to obtain some real expression of direct working with data analytic tools and techniques to deal with real world problems, involving machine learning. There are many benefits for those persons who wish to learn data analytics and develop a career.
Benefits of Enrolling in a Data Analytics Course in Noida at GICSEH
Students will be able to thoroughly understand data analytics concepts when they take the data analytics classes. These data analytics classes will provide students with a range of topics that go from advanced analytic techniques to data collection techniques. Another benefit of the Data Analytics Classes in Noida, is the networking opportunities provided by the Data Analytics Training in Noida. A good institute will not only introduce their students to business executives, but will also provide students with several workshops, internships, and networking events to take part in. Thus, for students who hope to enter the competitive job market while being equipped with only Data Analytics skills, GICSEH could be the best academic institution.
Taking up a Data Analytics Course in Noida from GICSEH in Noida is an opportunity for students and professionals in today's in-demand field of Data Analytics to advance their careers. Since Data Analytics based decision making has been identified as the key to success across all different types of industries, GICSEH guarantees that students will be leaving the experience with in-demand skills, practical training and real life experiences. The Data Analytics training in noida program from GICSEH will convey all the important topics in the field of Data Analytics from the importance of data collection and data cleaning, while delving into advanced analytics techniques and machine learning concepts and modern essential platform applications like Tableau or Power BI.
The program's content was designed by subject matter experts whose experience prepared participants to fill job openings, and educated you and the other participants for jobs that may exist in the future as data analytics continues to change; this is why it is the most recognized data analytics course in the industry.
One of the numerous values from the program at GICSEH is that the training is practical project-based learning, working with real-time datasets representing case studies in a business setting, to provide you with a real experience on analytics projects across industry verticals (Finance, Healthcare or Retail, IT, etc.).
GICSEH also has amazing networking and placement support. With workshops, guest lectures, industry meets, and internship opportunities with prospective firms, students can meet with top professionals and hiring managers from leading businesses. This not only helps improve your learning, but introduces you to numerous high-paying data analyst jobs in Noida and India.
Whether you are a new graduate, or an employee looking to add skills, GICSEH is the best choice to begin a fulfilling and prosperous career in Data Analytics. Enroll in the best Data Analytics Institute in Noida and gain the most sought after skills by employers.
Transformative Role of Data Analysts in Noida
In a rapidly changing, data-fueled world, the power of data analysts is very influential, particularly in a burgeoning tech capital like Noida. In businesses, government, and organizations throughout Noida, data-driven initiatives are becoming more popular than ever before; data-driven initiatives have become vital in maintaining a competitive edge. Businesses are changing the old approach of making decisions from intuition to drawing insights based on precision, and evidence obtained through insight from qualified data analysts.
Applications of Data Analytics Across Industries
In the realm of data analytics and commercial experience, it is undeniable that, in this age of innovation and the economic revolution led by deep data analytics, the significant, such as being a data analyst in a burgeoning high-technology zone like Noida, presents an obvious opportunity for impact. It is evident that businesses, government agencies, and organizations in the high-technology cluster in Noida are beginning to embrace the use of data-led decision making to maintain their viability. Instead of just going with gut instinct or being led by what has been reported on before, they can now rely on high-quality, accurate, factual insights (powered by trained people operating as data analysts) that enjoy a symbolic place of importance.
Some relevant examples of data led initiatives within the Noida e-commerce sector include data analytics-enabled personalization of customer experience, aimed at increased sales through targeted and timely messaging. When considering health impacts, hospitals and clinics are employing data analytics to improve patient care using modeling of disease patterns that triangulates real data to investigate treatment protocols. Similarly, in the modern fin-tech world, including startups and multi-national firms in the funding space, financial analysts are tools quantitively represented data and analytics to establish risks (fraud), mitigate bad actors or smarten their investment decision processes. As with e-commerce and fixing Health sector problems, enabling data analytics into business processes is changing logistics, education and sport by training organisations or institutions to establish their capability and driving performance improvement.
Rising Demand for Data-Driven Skills
Data skills above all are in great demand in Noida. This could be an exceptionally rewarding career for either new graduates or new professionals. Many industries are going through digital transformation in our economy today, and companies want people that can take raw data and convert it into Information. Global leaders today from HCL, to Adobe, to Infosys, and Samsung have also shifted to hiring data analytics muscle in Noida, based on its technology ecosystem and proximity to Delhi. Companies in Noida that can draw on their data analytics talent skillsets, has extremely high recruitment demand. This all requires that Noida has all sorts of companies in various industries - not just in I.T., but in educational institutions, fintech-startup businesses, healthcare providers to experience innovation and their business.
Key Skills in Demand for Data Analysts
Employers in Noida are prioritizing candidates who possess:
1. Exceptional SQL expertise for data extraction and data manipulation.
2. Programming experience with Python and R for data application and automation purposes.
3. Data visualization capability with Tableau, Power BI, or Matplotlib for producing and communicating insight.
4. Familiarity with the basics of machine learning and AI to produce predictive models and to automate analytics data workflows.
5. Exposure and familiarity with big data technologies such as Hadoop or Spark to manage large amounts of data.
6. Strong business fluency and domain knowledge to allow data insights to better correlate with an organization's objectives.
7. Strong communication skills and data storytelling to communicate complex findings to stakeholders.
Career Growth and Opportunities for Data Analytics Training in Noida
As the demand for data-driven skills in Noida continues to increase, the job market is also robust. Data analyst positions are growing by about 18–20% per year, in addition to competitive salaries and clear pathways to senior roles (Data Scientist, Data Engineer, Analytics Manager etc). New graduates, or professionals that up-skill their profile with an industry-recognized certification, should find plentiful opportunities and exciting career opportunities pathing through areas of impact across sectors in the field of Data Analytics.
A data analyst aspirant who chooses to take a Data Analytics course or certification in GICSEH Noida will not only improve his/her employability but will also help students stay on top in a market where data driven decision making is a reality. For data analysts who want to aim for a future-proof career, it is important that you acquire these in-demand skills continuously to develop your career and live in Noida's constantly changing job market. This is why, choosing the best institute is always critical in determining your future in gaining the right skill sets and exposure, in this ever changing industry of data analytics.
GICSEH Noida – A Trusted Pathway to Career Growth
Choosing the right institute can be a life-changing decision, and GICSEH Noida stands out as a beacon of hope and opportunity for aspiring professionals. In the heart of Noida’s thriving tech hub, GICSEH has become synonymous with trust, innovation, and career transformation.
Gain Confidence with GICSEH-
Established History of Successful Outcomes: GICSEH has helped many students realize their true intellectual potential, moving them from uncertainty on the way to success in the never-ending competition of IT and data analytics.
Industry-Relevant Courses and Curriculum: All courses were developed in collaboration with industry leaders to ensure every student gets trained on skills that are readily sought after and in demand.
Expert Level Mentorship: GICSEH provides students not only theoretical knowledge but the empowerment and support that facilitates overcoming obstacles and the realization of their dreams.
Distinctive Learning Path: Every learner has distinct needs and stories. GICSEH nurtures everyone within the student space to open awareness of their talents and create their learning path.
A Promise of a Brighter Tomorrow!
Enrolling in GICSEH is not simply a course enrollment, it is a transformative opportunity. The manner in which the institute's culturally rich learning environment transforms aspiring minds with real world projects and placement assistance creates an ecosystem to help students soar. GICSEH graduates leave with not just a certificate, but with a new-found confidence, resilience and vision.
“At GICSEH, we believe in igniting passion, building skills, and shaping careers. Your journey to success begins here.”
Your Next Step…
If you have aspirations for a rewarding career in IT, Cybersecurity, or Data Analytics, GICSEH, Noida gives you the trusted support and resources to help you leap into the extraordinary. Embark on your future with GICSEH by your side every step of the way.
Hands-On Training and Real-World Exposure
GICSEH's data analytics course in Noida always views hands-on training and real-world exposure as essential in any data analytics program. The curriculum importantly seeks to bridge the theoretical and application divide so a student has not only the knowledge, but the confidence to apply that knowledge in a real world business context. Through interactive sessions, students will use industry-standard tools and datasets, working through problems where a student may experience similar to what professionals are conducting at top tier organizations. After taking a thorough walk-through of the practical exercises students will be completing, these, among many others, include building/training neural networks, running algorithms for machine learning, and the most current methods of data visualization.
Students gain experience with real-world projects, which as a group will come together in the project journey; analyzing e-commerce sales trends, predicting health outcomes or detecting financial fraud - students become part of a much stronger employment portfolio that showcases their abilities for potential employers.
The data analytics training in Noida At Global Institute of cyber security and ethical hacking (GICSEH) the mission is to educate talented and motivated individuals through quality professionals.
GICSEH's data analytics training in Noida also provides connections and professional development through direct access with industry leaders in workshops, internships, and live team projects. The GICSEH experience is not simply just a training program that develops technical skills. It is an opportunity to develop you as a individual personally and professionally. You will build your technical skills each and every hands-on project you engage in, while also personally building your confidence. You will also encounter collaborative challenges that involve resilience throughout the experience. For each group project, you will inspire and develop your creativity problem-solving together.
Working with mentors and classmates who share your love of learning, you will get to practice your teamwork and communication skills, allowing you and your peers to accomplish more together. You will learn to address real-world problems and will have the opportunity to have breakthroughs while being challenged at an emotional level, taking advantage of the personal development target for your heart and guts. All of these experiences build you as a resourceful and solution-focused analyst in the constantly evolving world of data.
By attending GICSEH you are investing in a positive future and engaging in an awesome community. Not only with mentors and peers who are invested in your growth, but one that will challenge your aspirations and help create opportunities to push the limits of your barriers. Every lesson is an opportunity to challenge yourself to think divergently, to explore your curiosity, and to innovate the possibilities towards your future ambitions with a purpose. The program provides deeper access for you to be the best version of you and sets you up to jump into your next best opportunity. Data Analytics & BI Tools
Data Analytics and Business Intelligence
Data Analytics and Business Intelligence (BI) tools are a necessity to transform raw data into actionable insights so that organizations can make better decisions and remain competitive in their respective markets. In 2025, the most sought-after tools will combine all the capabilities that sublime analytics delivers with an easy-to-use interface and near real-time data processing.
Power BI continues as an industry leader, thanks to easy integration with Microsoft desktop and cloud products, an interactive dashboard, real-time insights, and AI-driven analytics for organizations of all sizes.
Tableau known for drag-and-drop features, dynamic data visualizations, advanced visualizations tools, when combined with easy-to-use interactive tools, allows the creation of reports without requiring knowledge of order.
Qlik Sense makes extensive use of associative data models, offers self-service analytics, and supports scalability because users have full range of navigation over data to derive their own insights.
ThoughtSpot is catering to users through search queries with natural language processing (NLP) and AI-driven insights, enabling non-technical users to obtain analytics through search queries.
Looker and Google Data Studio accept that BI is now seamlessly cloud integrated with big data infrastructure and analytics reporting has become collaborative and interactive.
Python and SQL are foundational tools as they pertain to manipulating data, querying data, and statistical programming and remain vital to the workflows of any analytics practitioner.
NumPy is the foundational package for numerical computing in Python. It provides high-performance capabilities for large multi-dimensional arrays and matrices, and offers a wide variety of mathematical functions, along with efficient operations on arrays. NumPy is the underlying layer of multiple other libraries in data science. NumPy is useful for rapid computation, data extraction and pre-processing, and linear algebra.
Pandas expands on NumPy by adding some powerful data structures, specifically the Series (1D) and DataFrame (2D), which enable easy and quick data manipulation, cleaning, and basic analysis. Pandas works well with structured data and offers operations such as grouping, merging, reshaping, and time series data. Pandas is the tool of choice for getting data into Python and the quality and speed of analysis to clean and prepare data for analysis.
Seaborn is a high-level data visualization library for Python based on Matplotlib. It allows users to create attractive and informative statistical graphics. Seaborn provides a command that allows users to visualize more complicated plots, such as pair plots, heatmaps, and violin plots, in just a few lines of code. Along with Pandas, Seaborn is an excellent way of exploring data to get a sense of what groups and variables exist in your dataset, especially in exploratory data analysis.
Matplotlib
These tools are leading the advancement of analytics- better enabling organizations to extract value from their data and to make informed business decisions Matplotlib is a popular python package for visualizing data, including static, animated, and interactive visualizations. It is built on the NumPy package, and users can create multiple data plots including line plots-, bar, scatter plots, histograms, etc. Matplotlib is foundational for data analysts to explore and analyze data using Python. The basic interface, called pyplot, is user friendly and simplifies the process of making and customizing plots in a MATLAB-like format. In Matplotlib, it's relatively easy to add titles, labels, legends, and boxes and include different types of plots within a single figure. Matplotlib is extremely flexible and can accommodate quick exploratory analysis and production-quality graphics. It is open-source and works with other Python data libraries like Pandas and NumPy, so it is crucial software for data scientists as well as analysts.
Aspiring students can learn all these aspect through the data analytics course at GICSEH's data analytics training in Noida.