Data Analytics Course in San Francisco | Certification and Placement Support

Join our Data Analytics Course in San Francisco to master data analysis and visualization techniques. Receive job placement support to advance your career!

Course Overview

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Certification and Accreditation

Our Accreditations : ISO 9001 : 2015 Certified Training Institute with Egypt ISO Accreditation
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Data Analytics Course in San Francisco

The use of data analytics has become indispensable for businesses that intend to work in a data-oriented environment. It transforms numbers into valuable information, helping companies make the right choices. Data analytics as a career offers a wide range of employment prospects, especially in a technological hub such as San Francisco.

To be successful, a good course must be selected. For example, the course you obtain to learn data analytics in San Francisco should equip you with cutting-edge tools and also give you experience with actual challenges. It’s about acquiring the skills that will give you a competitive advantage in the job market.

STAD Solution has designed an excellent data analysis course in San Francisco. Their program puts emphasis on practical skills which are relevant and taught by professionals which will allow you to have a good career grounding.

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Data Analytics Course Curriculum

Our course is created by the industrial experts and it consists of several modules that cover the following topics

Fundamentals

  • What is Data Analytics?
  • Importance of Data Analytics in Business
  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Basic Functions and Formulas
    • Arithmetic Operations
    • Statistical Functions
  • Data Cleaning and Preparation
    • Removing Duplicates
    • Data Formatting
  • Data Visualization
    • Charts and Graphs
    • Conditional Formatting
  • Pivot Tables and Pivot Charts
    • Creating and Analyzing Pivot Tables

SQL and MySQL

  • SELECT, INSERT, UPDATE, DELETE

  • Joins and Subqueries
  • INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Writing Subqueries

Python

  • Syntax and Data Types
  • Control Structures (Loops and Conditionals)
  • Installing Libraries (pip)
  • Introduction to Jupyter Notebook
  • Introduction to Pandas
    • DataFrames and Series
  • Data Cleaning and Preparation
    • Handling Missing Data
    • Filtering and Selecting Data
  • Data Aggregation and Grouping
  • Merging and Joining DataFrames
  • Introduction to NumPy
  • Arrays and Their Properties
  • Array Operations
    • Mathematical Functions
    • Statistical Functions

Power BI & Tableau

  • Introduction to Power BI
    • Power BI Desktop vs. Power BI Service
  • Data Importing and Preparation
    • Connecting to Data Sources
    • Data Transformation using Power Query
  • Creating Reports and Dashboards
    • Visualizations: Charts, Tables, Maps
    • Slicers and Filters
  • Introduction to Tableau
  • Connecting to Data Sources
  • Creating Basic Visualizations
    • Bar Charts, Line Charts, Scatter Plots
  • Building Dashboards
    • Combining Visualizations
    • Interactivity in Dashboards

Projects & Tools

  • Real-world Data Analysis Project
  • Applying Skills Learned
    • Data Collection, Cleaning, Analysis, and Visualization
  • Presentation of Findings
  • Introduction to Git and GitHub
  • Setting Up a GitHub Account
  • Basic Git Commands
    • git init, git add, git commit, git push
  • Collaborating on GitHub
    • Forking and Cloning Repositories
    • Pull Requests

Placement Assistance

  • Task management 
  • Communication Skills
  • Presentation Skills
  • Writing and Drafring Skiils
  • Resume Prep
  • LinkedIn 
  • Job Hunting & outreaching
  • Interview Preparation
  • Mock Inteviews
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Eligibility

Eligibility Criteria - Any Graduate

Fresher / Professionals

Coding Knowledge not Required for Course

No prior coding knowledge is required.

which degree Required icon

Any Degree - B. Tech, BSc, B.Com, BBA, etc.​

Can IT and Non-IT candidate can do this Course icon

All IT & Non-IT Branches - CS, EE, Civil, Mech, etc

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Job Roles

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Job Roles after IT training

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Our Training Methodology

STAD Solution's comprehensive training methodology
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Best Data Analytics / Data Analyst Training in San Francisco

Data Analytics is the process of analyzing raw data and extracting useful information from it such as trends patterns and insights. It involves the use of tools and processes to interpret data, making management decision-making much easier. This domain assists companies in better comprehending their data and developing smart business management models.

Provides unique information that enhances decision-making processes.

Facilitates the optimization of processes, cuts costs, and enhances the productivity of enterprises.

Plays a crucial role in fields like marketing, healthcare, finance, and more.

Helps businesses anticipate upcoming tendencies and behaviour patterns of customers.

Creates new possibilities and enhances current business processes.

Every organization aspiring to be competitive in the current world must have data analytics capabilities as it has become part of every firm.

Some of the advantages that make STAD Solution’s data analytics course in San Francisco unique:

Expert Instructors: You are taught by industry professionals with expertise and experience working in the field to help you acquire the important aspects of data analysis.

Hands-on Projects: Get hands-on experience with real-world projects. You will be engaged in research activities that mimic the actual hurdles of the data analyst.

Flexible Online Learning: The course can be very convenient as it allows you to study on your own time. It is an ideal course for those who have tight daily agendas.

Placement Assistance: STAD Solution offers career assistance in terms of preparation of CVs and mock interviews to enable one to get employment after completion of the data analyst course in San Francisco with placement.

Up-to-date Curriculum: The program covers the latest tools and technologies, ensuring you stay current with industry trends.

The STAD Solution is the most appropriate option for the seekers of the most beneficial and best data analytics course in San Francisco which assures quality education as well as career development.

Predictive Analytics

Predictive analytics employs statistical techniques to project future events through historical data. You will be trained to develop models to forecast trends, customer behaviours, and risks. With this skill, you’ll be able to improve business strategies and make better decisions. 

In this data analyst course in San Francisco, students can apply predictive models in a project-oriented environment in a variety of industries. 

Data Visualization Techniques

Data visualization is a technique that interprets data by transforming it into visual representations like charts, graphs, and maps. The course looks at visual creations with practical applicability using Tableau and Power BI. Such competencies will ensure you effectively convey important information, something every data analyst in San Francisco requires. You will present data in a way which enables the stakeholders to comprehend the scope of the findings. 

Big Data Handling

Working with big data is an art that makes use of methods to deal with and work on large volumes of data. The course presents various tools with special emphasis on Apache, Hadoop and Spark since these are highly used across the industry. As a result, this prepares you for impressive roles in prominent organizations.

Data Cleaning and Preprocessing

The use of raw data for analysis is not sufficient and there is a need for cleaning and processing it. In this course, you will learn some methods that may help you detect and rectify data entry mistakes, deal with missing data, and restructure information into appropriate forms, alphanumeric characters, and codes.

Start your path towards an exciting and lucrative career in data analytics today, sign up for STAD Solution’s data analytics course in San Francisco. Our training program is developed in such a manner that you’d be able to learn skills which are relevant in a professional setting.

We encourage you to take advantage of this opportunity to advance your career with the best course in data analytics in San Francisco. Contact us today to get more details on the course, cost, and how to enroll. Don’t wait anymore, make a step towards being a data professional today and begin your new career.

Curriculum

What is Data Analytics?
Importance of Data Analytics in Business
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive

Basic Functions and Formulas
Arithmetic Operations
Statistical Functions
Data Cleaning and Preparation
Removing Duplicates
Data Formatting
Data Visualization
Charts and Graphs
Conditional Formatting
Pivot Tables and Pivot Charts
Creating and Analyzing Pivot Tables

Understanding Databases
Basic SQL Commands : SELECT, INSERT, UPDATE, DELETE
Filtering Data
Joins and Subqueries
Joins and Subqueries
INNER JOIN, LEFT JOIN, RIGHT JOIN
Writing Subqueries

Python Basics
Syntax and Data Types
Control Structures (Loops and Conditionals)
Working with Libraries
Installing Libraries (pip)
Introduction to Jupyter Notebook

DataFrames and Series
Data Cleaning and Preparation
Handling Missing Data
Filtering and Selecting Data
Data Aggregation and Grouping
Merging and Joining Data Frames

Introduction to NumPy
Arrays and Their Properties
Array Operations
Mathematical Functions
Statistical Functions

Data Visualization with Power BI
Introduction to Power BI
Power BI Desktop vs. Power BI Service
Data Importing and Preparation
Connecting to Data Sources
Data Transformation using Power Query
Creating Reports and Dashboards
Visualizations: Charts, Tables, Maps
Slicers and Filters

Introduction to Tableau
Connecting to Data Sources
Creating Basic Visualizations
Bar Charts, Line Charts, Scatter Plots
Building Dashboards
Combining Visualizations
Interactivity in Dashboards

Real-world Data Analysis Project
Applying Skills Learned
Data Collection, Cleaning, Analysis, and Visualization
Presentation of Findings

Introduction to Git and GitHub
Setting Up a GitHub Account
Basic Git Commands
Git init, Git add, Git commit, Git push
Collaborating on GitHub
Forking and Cloning Repositories
Pull Requests

Task management
Communication Skills
Presentation Skills

- Resume Prep
- LinkedIn
- Job Hunting & outreaching
- Interview Preparation
- Mock Interviews

FAQs

No programming skill is needed prior, although some fundamental information may be beneficial. We start from the basics.

Certainly, group work is included in the curriculum to nurture learning and teamwork.

Yes, you will be awarded a completion certificate which employers recognize.

The course provides tools like Tableau, Power BI, SQL and Python used in analytics.

In case you are unable to attend a live session, you will be provided with the recorded session to view at a later date.

Flexibility is provided in the course so that the learner can plan how to complete the course without any deadlines.

The learning content is reviewed often to consider the needs of the current corporate market and employer feedback.

Yes, we carry out career coaching such as resume building assistance, interview preparation, and strategizing for jobs.

Yes, we have a ticketing system that is active 24 hours a day and offers assistance with any issues students face.

The general concentration recommends that on average between 10-15 hours a week work is required to handle any coursework.

Yes, because the course is in an online format which allows many students to enroll from different locations across the globe.






     


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