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To master the necessary data analytics tools and technologies, enroll in data analytics course in San Francisco. Learn about SQL database, R programming, Tableau, etc. Our 24/7 support will be available to ensure effective learning. Enroll in this training program and start your data analytics journey.
Course 1
SQL
Course 2
Python
Course 3
Statistics And Probability
Course 4
Machine Learning
Course 5
Performance Metrics
Course 6
Time Series Forecasting
Course 7
Business Problem Solving Insights and Storytelling
Course 8
Data Modeling
Course 9
Data Analytics Capstone Project
Course 10
Business Case Studies
Course 11
Microsoft Excel
Course 12
Visualizations using PowerBI
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Apart from these modules and more, your practical knowledge will be challenged as well through various real-time projects.
Once you complete the course, you will not only receive certification from Intellipaat but also from IBM and Microsoft, which, as you know, are two top-tier organizations.
This data analytics course can greatly benefit non-technical professionals working in banking, finance, BPO, HR, marketing, and sales sectors. It is also great for:
There are no specific skills needed if you want to enroll in this data analytics program by Intellipaat. However, with prior knowledge of statistics, probability, and data analysis, you can learn the concepts faster.
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Create predictive models like churn likelihood, and customer lifetime value, and help the team implement these models accordingly.
Develop models concerning the numerous cost components that power the various margin awareness initiatives.
Maintain the specifications of data engineering and meet the objectives of online data visualization platforms, such as Alteryx and Tableau.
Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of Data Analysis to allow the team to make significant impacts on the business.
Generate detailed reports and dashboards of high quality, and give presentations.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
PowerBI
Advanced Statistics
Data Mining
R Programming
Case Study
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Data Manipulation with Numpy, Pandas, and Visualization – Using large datasets, you will learn about various techniques and processes that will convert raw unstructured data into actionable insights for further computations i.e. machine learning models, etc.
Case Study – The culmination of all the above concepts with real-world problem statements for better understanding.
Descriptive Statistics
Probability
Inferential Advanced Statistics (by Academic Facutly)
Case Study
This case study will cover the following concepts:
Introduction to Machine learning
Regression
Classification
Clustering
Supervised Learning
Unsupervised Learning
Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather insights – Learn about the exploratory data analysis and how it enables a fool proof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
Feature Selection – Feature selection techniques in python that includes recursive feature elimination, Recursive feature elimination using cross validation, variance threshold, etc.
Feature Engineering – Feature engineering techniques that help in reducing the best features to use for data modeling.
Model Tuning – Optimization techniques like hyperparameter tuning to increase the efficiency of the machine learning models.
Problem Statement and Project Objectives – You will learn how to formulate various problem statements and understand the business objective of any problem statement that comes as a requirement.
Approach for the Solution – Creating various statistical insights based solutions to approach the problem will guide your learnings to finish a project from scratch.
Optimum Solutions – Formulating actionable insights backed by statistical evidence will help you find the most effective solution for your problem statements.
Evaluation Metrics – You will be able to apply various evaluation metrics to your project/solution. It will validate your approach and point towards shortcomings backed by insights, if any.
Gathering Actionable insights – You will learn about how a problem’s solution isn’t just creating a machine learning model, the insights that were gained from your analysis should be presentable in the form of actionable insights to capitalize on the solutions formulated for the problem statement.
Customer Churn – The case study involves studying the customer data for a given XYZ company, and using statistical tests and predictive modeling, we will gather insights to efficiently create an action plan for the same.
Sales Forecasting – By studying the various patterns and sales data for a firm/store, we will use the time series forecasting method to forecast the number of sales for the next given time period(weeks, months, years, etc.)
Census – After studying the population data, we will gather insights and through predictive modeling try to create actionable insights on the same, it could be average income of an individual, or most likely profession, etc.
Predictive Modeling – Various case studies on categorical and continuous data, to create predictive models that will predict specific outcomes based on the business problems.
HR Analytics – Based on the data provided by a firm, we will study the HR analytics data, and create actionable insights using various statistical tests and hypothesis testing.
Dimensionality Reduction – To understand the impact of multidimensional data, we will go through various dimensionality reduction techniques and optimize the computational time on the same that will eventually be used for various classification and regression problems.
Housing – A case study that will give you insight into how real estate firms can narrow down on the pricing, customer choices, etc. using various predictive modeling techniques.
Customer Segmentation – Using unsupervised learning techniques, we will learn about customer segmentation, which can be quite useful for e-commerce sectors, stores, marketing funnels, etc.
Inventory Management – In this case study, you will learn about how meaningful insights can be used to drive a supply chain, using predictive modeling and clustering techniques.
Disease Prediction – A medical endeavor that is achieved through machine learning will give you an insight into how the predictive model can prove to be a great marvel in early detection of various diseases.
Excel Fundamentals
Excel For Data Analytics
Data Visualization with Excel
Ensuring Data and File Security
Getting started with VBA Macros
Statistics with Excel
Power BI Basics
DAX
Data Visualization with Analytics
Case Study:
This case study will cover the following concepts:
Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in data analytics.
55% Average Salary Hike
$1,22,000 Highest Salary
10000+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Our data analytics courses in San Francisco are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.
You will receive the Data Analytics Certification from Intellipaat, Microsoft, and IBM. Along with that, you will also be able to clear the following certifications:
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches, including our alumni. Collaborate on projects, share job referrals and interview experiences, compete with the best, and make new friends — the possibilities are endless, and our community has something for everyone!
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.
Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners, including top start-ups and product companies, are hiring our learners. Mentored support on job search and relevant jobs for your career growth.
$527
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Intellipaat’s Data Analytics Online Certification Course is an industry-designed course to fast-track your career in data analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours coding, then Intellipaat’s courses on data analytics are for you.
These online data analytics courses in San Francisco involve the following:
You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support
If you are looking for free resources on data analytics then read our blogs on data analytics tutorials, and data analytics interview questions Also, visit our YouTube channel for free videos.
Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.
The tools used for data analysis make the tasks of data processing, manipulation, analysis, and pattern and trend identification much easier. Some of the top data analysis tools are:
Data Analytics: Data analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.
Data Analysis: Data analysis is a subset of the broader field of data analytics. Data analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.
Data Analysts: Data analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.
A career in the data analytics domain is not just a good career option but also one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing a Master’s in Data Analytics.
As per the Bureau of Labor Statistics, the estimated growth rate for data analytics professionals will shoot up by 23% by the year 2026.
To become a data analyst, you must have the following qualifications:
To become a data analyst, you should meet the following criteria:
You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s course on Data Science with R Programming.
Having a college degree in the fields of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement for becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in data scientist courses can help you immensely, however, it is still a secondary requirement.
Intellipaat offers self-paced training to those who wish to learn at their own pace. This training also gives you benefits like query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on the LMS for an entire lifetime. Also, you will get the latest version of the course material at no additional cost.
Intellipaat’s self-paced training is priced 75 percent less compared to online instructor-led training. If you face any problems while learning, our team can always arrange a virtual live class with the trainers as well.
Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Learners are required to submit the mandatory assignments, project work and quizzes for receiving the Intellipaat verified certificates.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.
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