Online Data Analytics Course- Become a Certified Data Analyst
Looking for an extensive data analytics course online? Elevate your career by enrolling for Entri Elevate’s Data Analytics Course!
Online
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An Overview of Online Data Anlaytics Course
Step into the world of data analytics with Entri Elevate’s Data Analytics course which offers an effective and comprehensible experience. With a vast and detailed coverage of necessary topics, along with tutorings from industry experts, aspirants can easily gain substantial knowledge and expertise in the field. Graduates would be able to analyze and extract data according to the various requirements.
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Inclusive & Immersive Hybrid Training Sessions
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Industry Expert Sessions
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80+ Live & Recorded Sessions
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Soft Skill Sessions
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Industry Networking
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Placement Training
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Illinois Tech Certification
Skills Covered
Get an overview of skills that would be covered in this course.
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Tools Covered
Illuminate the path to insights! Unlock the power of Data Analytics with these necessary tools!
![OpenCv](https://cloudfront.entri.app/static/landing_page/webp/OpenCv_DS_tool_7464.webp)
![Power BI](https://cloudfront.entri.app/static/landing_page/webp/power%20bi%20(2)_8081.webp)
![Python](https://cloudfront.entri.app/static/landing_page/webp/python_logo_5058.webp)
![Python Pandas](https://cloudfront.entri.app/static/landing_page/webp/python_pandas_5525.webp)
![Python Numpy](https://cloudfront.entri.app/static/landing_page/webp/python_numpy_5863.webp)
![matplotlib](https://cloudfront.entri.app/static/landing_page/webp/matplotlib_logo_5957.webp)
![SQL](https://cloudfront.entri.app/static/landing_page/webp/SQl_logo_6243.webp)
![DAX](https://cloudfront.entri.app/static/landing_page/webp/Dax_logo_digital_4965.webp)
![Seaborn](https://cloudfront.entri.app/static/landing_page/webp/sea_born_logo%20(2)_5202.webp)
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![Excel](https://cloudfront.entri.app/static/landing_page/webp/Excel_logo_new_7389.webp)
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Data Analytics Job Roles
What Exactly Does a Data Analyst Do? Lets Dive Deep into Roles!
Data Analyst
Data analysts gather, organize, and interpret data to provide valuable insights to businesses. They use statistical tools and techniques to identify trends and patterns and communicate their findings to key stakeholders. A data science and machine learning course equips individuals with skills in data manipulation, visualization, and analytics, making them a perfect fit for this role.
Business Intelligence Analyst
Business intelligence analysts are responsible for studying data to uncover trends and patterns that can assist companies in making informed decisions. They employ a variety of data analytics tools to collect information from various data sources and present it in a format that can be easily comprehended by stakeholders. This position necessitates strong analytical abilities, business expertise, and excellent communication skills.
Data Scientist
Roles and responsibilities include collecting, analyzing, and interpreting large amounts of datasets. The role also requires making use of statistical and machine learning techniques to identify trends and patterns in data.
Data Engineer
Being one of the most technical profiles in the whole of data science and analytics careers, this particular data analytics career closes the gap between software and application developers. The core responsibilities include designing and building infrastructure and systems that support data collection, storage, and analysis
Data Analytics Curriculum
The Data Analytics curriculum is available now. Covers stats, Preparatory Sessions, Python Programming, MySQL, PowerBI. Practical projects included. Enroll for a competitive edge.
- Introduction to Data Analytics
- Data Analytics Lifecycle,
- Types of Data Statistics Basics (Mean, Median, Mode,Variance, Standard Deviation).
- Introduction to Excel Interface
- Basics of Excel
- Spreadsheet basics
- Data Entry.
- Fundamentals of Excel
- Insertion
- Deletion
- Importing Data
- Table Creation
- -sum()
- min()
- max()
- count()
- average()
- if()
- sumif()
- countif()
- averageif()
- formatting text using right() left(), mid(), upper(), lower(),proper()
- Introduction to Data Cleaning
- Removing duplicate data
- Handling missing data
- Correcting inconsistent data
- Text-to-columns and Flash Fill
- Data Validations
- Data transformation,
- What-if analysis
- scenario Manager
- Removing unnecessary characters and spaces
- Conditional formatting for data cleaning
- Filtering and Sorting data in excel Descriptive Statistics
- Mean
- standard deviation, etc., using Analysis ToolPak
- Mean, standard,deviation, etc., using Analysis ToolPak
- TODAY
- NOW
- YEAR
- MONTH
- WEEKDAY
- DATEDIF
- VLOOKUP
- HLOOKUP
- XLOOKUP
- INDEX
- MATCH
- Creating Pivot tables
- Connecting multiple tables and show analysing and creating visualization with multiple tables.
- Data Analysis and Visualization using Pivot Table
- Charts and Graphs
- Bar
- Column
- Pie
- Line
- Scatter
- Combo charts
- Sparklines
- PivotCharts
- Dynamic charts with slicers and filters
- create and design interactive dashboard.
- Installation of Power BI Desktop
- Exploring the Power BI interface
- Connecting to data sources
- Importing Data into Power Query
- Data Cleaning and Transformation: Handling Missing Data and Duplicate Data, Sorting and Filtering Rows, Aggregating and Grouping Data in Power Query
- Normalization vs denormalization
- Relationships in PowerBI
- Cardinality
- cross filter direction
- Building Star schema data model
- Calculated Columns and tables using DAX
- Measures, Simple DAX Functions and Operators(Mathematical, Logical, Statistical & Text Functions)
- Advanced DAX – Aggregations and Calculations(Aggregate, Filter, Datetime, Time Intelligence & Table Functions)
- Bar
- Column
- Pie
- Donut
- Line,
- Area,
- Scatter
- KPI & Gauge
- Table
- Matrix
- Map
- Tree map
- Combo
- Creating Hierarchies ; Filters, Slicers ; Drill-Downs
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Learn how to apply Data Analysis using Excel and PowerBI, mini project spanning 10 days.
-
IS NULL,
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IS NOT NULL
-
IN
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NOT IN
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BETWEEN
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NOT BETWEEN
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LIKE,
-
NOT LIKE
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ORDER BY
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LIMIT,
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Aggregate functions,
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GROUP BY, HAVING, INNER JOIN , LEFT JOIN, RIGHT JOIN, UNION, UNION ALL
- Mathematical, String
- Date & time
- User-defined function
- Stored Procedures
- Subqueries -single, multi-row; Views - simple, complex views, Triggers
- DCL- GRANT, REVOKE ; TCL - COMMIT, SAVEPOINT, ROLLBACK - ACID properties, show connecting mysql and powerbi
- String
- String methods
- String slicing
- Tuple
- Tuple methods
- Immutable vs Mutable Data Types
- Dictionary
- Dictionary methods
- Set
- Set methods Frozenset
- Conditional statements - if, else, elif, while loop ,else, break & continue with while loop, range; for loop ; else, break & continue with for loop; nested for loop ; enumerate ; List Comprehension
- NumPy
- NumPy arrays
- Array operations and functions
Visualization Using Matplotlib
- Scatter Plot
- Line Chart
- Bar Chart
- Pie Chart
- Histogram
- Box Plot
VisualizationUsing Seaborn
- Count Plot
- Bar plot
- Scatter plot
- Line plot
- Box plot
- Histogram
- Density Plot
- Violin Plot
- Swarm Plot
- Heatmap
- Pair Plot
Data Analytics Blogs
Explore Trending Topics of Data Analytics
Discover the path to becoming a data analyst in this insightful blog. Learn about the essential skills you need, from mastering data tools like Excel, SQL, and Python to honing analytical thinking and communication abilities. Explore industry trends, career opportunities, and practical tips to kickstart your journey in the dynamic world of data analysis.
Data Science focuses on building models and using advanced techniques like AI to predict outcomes. Data Analytics is about analyzing existing data to find trends and insights. Both are key in today’s data-driven world, but their goals and methods differ.
EDA makes sure that the proper patterns and trends are made available so that the model may be trained to produce the desired results, much like a good recipe. As a result, using the appropriate EDA tool and appropriate data will help accomplish the desired result.
Explore the steps, methods, and types of data analysis used to turn raw data into actionable insights.
Eligibility /Pre-requisities
Anyone can avail our courses as these are very comprehensive. However, a prior knowledge or understanding of the subject can be beneficial.
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Basic Programming Skills
Analyzing and interpreting complex datasets, developing machine learning models, and providing actionable insights to solve business problems.
![Logical thinking icon](https://cloudfront.entri.app/static/landing_page/webp/logical_thinking%20(1)_160.webp)
Logical thinking
Having the ability to think critically and approach problems analytically by identifying its key components, and understanding how they relate to each other.
![Problem-Solving Skills icon](https://cloudfront.entri.app/static/landing_page/webp/problem_solving_skills_608.webp)
Problem-Solving Skills
Formulate data-driven solutions, identify patterns and trends, and ability to apply logical thinking to solve complex problems with strong problem-solving and analytical skills.
![Basic Mathematical skills icon](https://cloudfront.entri.app/static/landing_page/webp/Basic_mathematics_skills_780.webp)
Basic Mathematical skills
Mastering fundamental mathematical concepts, like algebra, calculus, and probability, is essential.
Our Hiring Partners
Connect employers with a global network of recruitment partners to meet their hiring goals.
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Why Live Sessions?
Confused about how effective live sessions are? Read on to understand why this live session course is the best one for you.
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Real-time interaction
Real-time interaction makes sure that all doubts and questions would be answered then and there thus strengthening the understanding of the course in an interactive manner.
Flexibility
Aspirants can attend the sessions from anywhere in the world with just an internet connection. Moreover, recordings help to cover missed sessions and also serve as a revision.
Latest information
The course is the latest and up-to-date in terms of materials, curriculum, tools, and instructors. Additionally, the instructors can share their thoughts and best practices on various new features that help aspirants stay up-to-date as well.
Affordability
Compared to traditional classroom-based training, live sessions are often more affordable, making them accessible to a broader audience. This affordability also makes it easier for organizations to provide ongoing training and development opportunities to their employees.
Your Mentor
Gain an edge in your career by accessing our team of experts who will provide invaluable guidance and support. Meet our team of mentors!
Data Analytics instructors
Learn From Industry Experts
Data Analytics With Python Exam & Certification
Courses Recognised by
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Frequently Asked Questions
Illinois certification validates your proficiency and expertise across various industries. It can enhance your credibility and positively impact your career growth, earning potential, and professional fulfillment. Obtaining Illinois certification opens up opportunities for career advancement and high-paying jobs, bringing ample career opportunities and enhancing your professional success.
Illinois certification is best for IT freshers. This certification program provides comprehensive training and education on various aspects of IT, including programming languages, software development, database management, and more.
Illinois certification helps freshers build a strong foundation in IT. It equips them with the necessary skills to succeed in their careers and to get better job opportunities with higher salaries.
What Our Students Are Saying
Key Learning Outcomes of Data Analytics Course
The key takeaways from the "Entri Data Analytics" course are as follows
Enhance your analytical skills
Cultivate the skills and usage of tools to independently tackle business problems.
Master formulas across various tools
Learn extensively various formulas in powerful tools such as Python, SQL, etc.
Master business insights
Gain insights in how to extract data and present them to various stakeholders in a comprehendible manner.
Practical projects
Experience hands-on projects that will familiarize you with the tools and its applications.
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Frequently Asked Question about Data Analytics Course
Pros:
Enables data-driven decision-making process.
Streamlines business processes and strategies.
Ensures time and resource management.
Analyzes huge amounts of data to identify patterns and trends.
Cons:
Data Analytics services and consultancy are expensive.
Data privacy and security are concerning factors here.
Risk of errors in data analysis.
Demands expert personnel.
Find Your Program and Up-skill
Entri App Highlighted in the News
Advantages of Learning Elevate Data Analytics Course
Elevate Learning Experience
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Student support:
Available all-day, using Slack for urgent queries
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Q&A Forum:
Timely doubt resolution from peers and mentors
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Expert Feedback
Personalised feedback on assignments and projects.
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Industry Networking
Live doubt clearing sessions with Industry Experts.
Career Support
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Resume review:
Get personalized guidance on your resume structure and content.
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Resume Review
Get personalized guidance on your resume structure and content.
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Live profile-building workshops:
Build your profile with hands-on sessions, whether on your resume, GitHub, or Kaggle platform.
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Personalised Industry Mentorship:
Get personalised feedback and mentorship from experienced professionals.
Upcoming and Recorded Webinars
Who Can Apply For the Course
- Students
- Professionals
- Career Switchers
- Job Seekers
- House Wife
- Un-employers
- Freelancers
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