Data Analyst Training
- Duration Lifetime
- Level Beginner
- 35 Students
About Data Analyst Course
Checkmate’s Data Analyst training program provides a comprehensive path for aspiring data analysts, giving in-depth information and practical skills required to excel in today’s data-driven environment. Participants acquire hands-on experience with data manipulation, statistical analysis, and visualization software like SQL, Python, R, and Tableau. The program focuses on real-world applications, teaching students how to successfully collect, clean, analyze, and display data in order to make educated decisions. Graduates are equipped for a variety of data analysis professions in areas such as healthcare, finance, and technology, with opportunities to excel in the competitive employment market in the United States.
Why Select Our Program for Data Analyst?
Modern corporate tactics now revolve around data analysis and experts with the necessary training and credentials are in great demand. There is a good data analyst salary in Pakistan. The following well-known data analyst certificates are listed:
The Certified Data Analyst (CDA) program aims to teach candidates how to handle, analyse, and understand data, which is essential for organizational decisions.
Microsoft Associate Certified Data Analyst: This Microsoft course uses Excel and Microsoft Power BI to manipulate and analyze data.
IBM Certified Data Analyst: Focused on providing thorough data insights using IBM’s data analysis products, such as Cognos Analytics and SPSS Modeler.
SAS Certified Data Analyst: This analyst focuses on SAS software necessary for effectively analyzing and interpreting data.
SAS Certified Data Analyst: A Tableau Certified Associate focuses on Tableau’s data visualization tools, essential for producing powerful visual representations of data.
Tableau Certified Associate: Our training at Checkmate covers every essential facet of these credentials, customized to meet the requirements of our target audience. We train people to be top performers in the cutthroat job market and demonstrate their data analytic skills.
What Makes Certifications for Data Analysts Important?
Increased Career Opportunities: A certification verifies your experience and makes you a desirable applicant for data analyst positions.
Keep Current: Certifications increase your marketability in a fast-changing sector by ensuring you’re current on the newest trends and technologies.
More significant Earning Potential: Because of their particular skill set and reputation, certified professionals sometimes fetch more substantial compensation.
Develop Credibility: Certifications enhance your professional reputation by proving your reliability and credibility to colleagues and clients.
Course content
Overview of the Data Analytics Course
Start with providing an overview of the methods and principles of data analytics.
Excel-Based Business Analytics
Learn how to use Excel, a vital tool for data processing and visualisation, for business analytics.
Python Programming Fundamentals and Data Analytics
Discover the fundamentals of programming and use Python for data visualisation and analysis.
Tableau Instruction
Explore Tableau to produce intelligent and dynamic graphics that promote data-driven choices.
Capstone Data Analyst
Utilize your abilities in a practical assignment to demonstrate your mastery of data analysis.
BI Power
Investigate Microsoft Power BI for easy-to-use data analysis and visualization.
Programming Refresher
To guarantee that you are proficient in data manipulation, review programming ideas.
Data Science with R Programming
R is a potent statistical computing and graphics tool that can help you understand data analysis more deeply.
SQL Instruction
Learn SQL to maintain and query databases, which is necessary for data analysis tasks.
Data analytics for the final project
Curriculum
- An Overview of Data Analysis
- The Value of Data Analysis in Business
- An Overview of the Role of the Data Analyst
- Tools and Technologies Applied
- Knowing Your Data Sources
- Techniques for Gathering Data
- Methods for Cleaning Data
- Managing the Absence of Data and Abnormalities
- Analysing exploratory data (EDA)
- Techniques for Data Visualization
- Python Plotting (Matplotlib, Seaborn)
- Plotly’s Interactive Visualizations
- Preparation and Wrangling
- Handling Feature Engineering Normalization
- Scaling of Categorical Data
- Characteristic Statistics
- Deductive Statistics
- Testing of Hypotheses
- Analysing Correlation and Regression
- Overview of Machine Learning
- Metrics for Evaluating Supervised versus
- Unsupervised Learning Models
- Overview of Scikit-Learn
- The Linear Regression
- Regression using Logistic Regression
- Random Forests and Decision Trees
- Assessment and Validation of the Model
- Principal Component Analysis (PCA)
- Hierarchical Clustering
- K-Means Clustering
- Stochastic Neighbor Embedding with t-Distribution (t-SNE)
- Overview of Time Series Data
- Techniques for Time Series
- Decomposition Forecasting
- ARIMA Simulation
- Hadoop, MapReduce
- Apache Spark, Pandas,
- Dask for Processing
- Big Datasets
- Processing of Natural Language (NLP)
- Using Deep
- Learning to Analyze Data
- Recommender Systems Anomaly Detection Real-world Data Analysis Project: Problem Definition
- Data Exploration Data Preparation
- Modeling and Assessment
- Presentation of Results and Conclusions
Why Should Choose Checkmate IT Tech for Training in Data Analysis?
Our curriculum is developed to give you the abilities and information need to succeed in the industry. You will acquire a complete understanding of data analysis through a program that covers both theoretical principles and practical applications that you can work with. Our skilled instructors are committed to your success and will offer direction and encouragement at every turn. You will also have all you need to succeed with access to a variety of tools, such as practice exercises and online groups. And when you’re prepared to advance in your career, our support with job placement can help you find the ideal position. Checkmate IT Tech is the best option for those who want to become data analysts since it offers flexible training options that can be tailored to your schedule and learning style.
Skills
- Statistical Analysis
- Data Mining
- Data Visualization
- Programming (Python, R, SQL)
- Machine Learning
- Data Cleaning and Preprocessing
- Critical Thinking
- Domain Knowledge
- Communication Skills
- Attention to Detail
- Time Management
- Collaboration
FAQs
Both professionals wishing to improve their skills in the industry and novices with no prior expertise in data analysis can benefit from this training.
Although optional, having a basic understanding of statistics and computer literacy is advantageous.
Indeed, those who finish the training course and pass the exam will get a certificate of completion.
Participants must have access to a computer that can connect to the Internet. Software requirements include Python, SQL, and data visualization programs like Tableau or Power BI.
Participants will have access to mentors and instructors who can offer support and direction throughout the training program.
Indeed, even after the training program, participants can still access extra materials, discussion boards, and support lines.
Indeed, to gauge comprehension and advancement, there will be regular tests, quizzes, and a final project.
Of course! The knowledge and abilities acquired throughout this course can be immediately applied to practical data analysis tasks in various sectors.
Depending on each individual’s interests and specialty areas, this training can lead to various employment prospects, including those as a data scientist, business analyst, analyst, and analyst.
The Data analyst course lasts three months and is offered twice a week (weekdays or weekends).
This Course Include
- Language - English - Urdu
- Access on desktop, tablet and mobile
- Full lifetime access
- Certificate of Completion
Program Fee: Get 50% off - Now just in 750$
Total Admission Fee
$750 instead of 1500$
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.