Data Analytics Course in Calgary
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Course Information
Level | Intermediate |
---|---|
Batch Availability | Weekdays, Weekend |
Mode of Class | Classroom, Online, Hybrid |
Duration | 39 hours |
Enquiry Form
Key Features
Hands-on Learning Program
Get trained from working professional
Get trained as per market Trend
work on live projects
Training on all latest tools and skill
Continuous Interview preparation
Complete job assistance (Canada only)
Mock interview session from working QA professionals
Course Overview
Data Analytics Course in Calgary
Many firms are gathering loads of data all the time but, in its raw form, this data does not mean anything. This is where data analytics comes in use. Data analytics is the procedure of analyzing raw data to draw out relevant, actionable insights, which are then utilized to inform and bring smart business decisions. A data analyst will take out raw data, arrange it, and then analyze it, changing it from incoherent numbers into coherent, comprehensible information. Having explained the data, the data analyst will then pass on their things in the form of advice or suggestions about what the organization’s next stages should be. You can consider data analytics as a form of business intelligence, utilized to solve particular issues and complexities in a company.
It is all about finding patterns in a dataset that can tell you something helpful and related about a specific area of the business how sure customer groups behave, for instance, or how employees connect with a specific tool. Data analytics aids you in making sense of the past and predicting future trends and behaviors instead of basing your decisions and plans on guesswork, you are making knowledgeable preferences based on what the data is offering you. Issued with the insights drawn from the data, businesses, and companies can develop a much deeper knowledge of their audience, their field, and their organization as a whole and, as an outcome, are much better equipped to make decisions and plan.
What Is Data Analytics Course in Calgary?
Data analysis is a procedure for getting raw data, and lately converting it into information helpful for decision-making by users. And, it is a procedure of cleansing, inspecting, transforming, and modeling data to find helpful information, informing conclusions, and help in decision-making. Data analysis has many faces and approaches, encompassing many techniques under a diversity of names, and is utilized in many business, science, and social science domains. Data Analytics is the process of inspecting datasets to find trends and draw decisions about the information they have.
Data Analytics courses will provide the learners to help a company in making better business conclusions and assessing customer patterns and satisfaction, leading to the improvement of finer products and facilities. The course syllabus is particularly made to aid learners obtain skills for how to set possible goals in the business sector. This course is perfect for all working professionals. Prior programming understanding is not needed. It includes job important topics such as data analytics, data visualization, regression techniques, and guided learning complete through our course by leading practitioners’ industry projects.
What Does Data Analytics Include?
Mainly, the data analytics procedure includes different tasks. These mainly include –
- Describing a issue
- Conclusive which data to gather to solve that issue
- Gathering and cleaning that data
- Changing and modeling it, and finally
- Utilizing all this to provide helpful information to help making a decision
Data analytics has been around in one form or another since humans first begins scratching figures onto wax tablets. Thus, data analytics has only really achieved traction with the dawn of digital. This extension of data has concur with step forward in technologies that automate much of the data analytics procedure. This includes machine learning algorithms and complex data storage structures that enable us to operate big data with incredible ease. Now, in the world of AI, data analysis skills and techniques are even more costly than they were before.
What Is The Importance Of Data Analytics?
Here are some important things of data analytics:
- The data analytics field provides many opportunities for people.
- Future possibilities in this industry are favorable which allow people to accomplish more.
- It is beneficial to increase your time and use it amazingly.
- Think about seizing the opportunity to start on a profitable career path, particularly after finishing data analytics courses in Calgary.
- The aim of data analytics is to understand the transforming nature of data with time.
- Companies frequently hire data scientists or analysts to decide the most effective execution strategy.
Career In Data Analytics Course in Calgary
Data analysts are in high demand currently all across Calgary and surrounding areas. For positions such as Qualitative Analyst, banks and financial companies actively searching for someone with a history in data analysis. Many occupations with pay rates connected with specialisation are available in Calgary if you are considering a career in data analytics. There will be a progressing requirements for professionals with analytical skills as the sector of data analytics constantly growing. As an outcome, those who select a career in data analytics should foresee having high employment possibilities and the feasibility of a pay rise as they got expertise.
- Candidate should have Bachelor degree or college diploma in Computer Science/Information
Technology/Computer Applications/ Computer engineering. - One should be good team player.
- Anyone who wants to start in the IT industry.
- Anyone who wants to enhance their career as Data Analyst.
- Data Analysts who want practical implementation and enhance their knowledge on latest tools.
- Anyone with no or minimal IT Experience.
- Anyone who wants a stable career in IT industry.
- If you don’t have IT Experience but want to get into IT.
- If you Know Data Analytics, but are not getting any interview calls
- Plenty of job opportunities, as data is increasing day by day, and the demand for Data Analysts is
also increasing tremendously. - If you do not possess any IT experience, you can still easily obtain a Junior Data Analyst position.
- Salary range is increasing dramatically day by day.
- There is no ‘dead-end’ job search period for a Data Analyst, as it is always in high demand.
- Get trained from Working Professionals with years of expertise: We have Specialist who knows market trend and latest tools and will train you on Live working projects
- We offer Java training from basics to required level: Keeping in mind that even Non IT individual also join this, we provide training on Java from basic to advance, so no prior knowledge is required in java
- We provide daily interview sessions according to current market: We believe training is only beneficial, if you can fetch job. So our specialists prepare students for interviews from day one. We prepare you for all interview Questions that could be asked
- Evaluation and interview from technical recruiters: We call technical recruiters to evaluate you, these are the people who actually hires in companies. So they Check whether you can pull it up or not.
- Training on different web based Live applications: We provide practical Training on Live projects, so that you can learn what practical scenarios for Selenium Testing could be. This helps a lot in interviews
- Training on all latest frameworks and browsers: Selenium is all about creating Frameworks and working on different browsers, so along with Live Projects, student will be creating their own frameworks.
Course Curriculum
Working with a Data Server:
• Create a Data Server
• Login to your Data Server
• Create a Data Analytics environment on your Data Server
- Python3 & Jupyter notebook
- Bash
- Install Python libraries relevant to Data Analytics
- Install csvkit for Bash
Introduction to Bash
• Working with directories
• Using Bash to download a 7-million-row dataset
• Exploring raw data using Bash
• Options in Bash for wordcount
• Piping in Bash
• ‘grep’ in Bash
• Variables in Bash
• Looping in Bash
- ‘while’ loop in Bash scripts
- ‘if’ statements
• Regular Expressions in Bash
• Working with ‘dates’ in Bash
Introductions to Statistics and the Analytics Methodology
Descriptive Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Measures of Relationship
• Inferential statistics
- 4 techniques of Population Sampling
• Types of data
• 6 stages of the Analytics Methodology
• Introduction to Databases and SQL
SQL
• DDL statements
• DML statements
• Aggregation functions, GROUP BY
• CTE’s
• JOINs
• Single-Line Functions
- String functions
- Date and Time functions
- Numeric functions
• UNIONS
• MINUS
• INTERSECT
• CASE
• COALESCE
• Window functions
Introduction to Python:
• Datatypes in Python
• Loops & conditional statements
• User-defined functions
• Variables
• Built-in functions
• Objects in Python
- Mutable objects:
❖ List
❖ Dictionary
❖ Numpy arrays - Immutable objects:
❖ Strings
❖ Tuples
• Operations on Numpy arrays
• Using Pandas
• Data Visualization using Python
Machine Learning (ML)
• Data Cleaning process
• EDA (Exploratory Data Analysis) process
• Exploring Time Series data
• 4 Methods for Time Series forecasting
• Adjustments and Transformations on Time Series data
• Predictive Modelling methods:
- Overview of common ML algorithms
- Regression:
❖ Intro to Linear Regression
❖ Interpreting Regression results - Building the best ML model
- Feature Engineering
- Dummy variables
- Classification approach:
❖ k-NN algorithm
PowerBI
• Intro to PowerBI
- Get data spreadsheets
- Power Query Editor
- Joining tables
- DAX
- Adding new measures
- Format data
- Transform data
- Buttons, Themes,
- Filters, Slicers, visualizations
• Employee Demographics dashboard
• Survey Data dashboard
Course Schedule
Start Date | Weekend/ Weekdays | Timing | Location | Action |
---|---|---|---|---|
19 Jan 2025 | Weekends (Saturday + Sunday) | 10:00 - 1:00 PM | Online | Enroll Now |
FAQs Related To Data Analytics Course in Calgary
Is data analytics high in demand in Calgary?
Many professional opportunities need the in-demand talent of data analytics, and the data analytics is high in demand in Calgary.
Why do data analytics course in Calgary?
Finishing a Data Analytics course in Calgary opens up many job opportunities. The country’s popular education system and high standard of living make it a chosen destination for international students.
Which nation demands data analyst?
With a strong economy and a attention to Industry 4.0, Canada stands as a main place for data analytics professionals.
What do you need to be a data analyst?
To become a data analyst, you will likely required at least a bachelor’s degree in the industry as well as a blend of technical and interpersonal skills, involving an knowledge of statistics and data preparation, a systems thinking mindset and the capability to clearly communicate.
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