AGILE IT TECH

Data Analyst Course

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COURSE FEATURES

  • Course Duration: – 6-8 Weeks (35 Hours approx)
  • Category: Databases, Predictive Analysis
  • Available Modes: Online (Batch or One on One)
  • Certificate: Yes
  • Location: Online – Live Sessions
  • Language: English
  • Sessions: Weekday and Weekend
  •  Prerequisites: No
  • Skill Level: Beginner
  • Course Capacity: 20

Descriptions

Most entry-level data analyst positions require an appetite for data. Effective data analysis helps organizations make business decisions. Nowadays, data is collected by businesses constantly: through surveys, online monitoring, online marketing analyses, collected subscription and registration data (e.g. newsletters), and social media monitoring, among other things. Through hands-on projects, students will learn how to apply these techniques to real-world data sets and gain the skills to make data-driven decisions. The course is suitable for beginners interested in pursuing a career in data analytics or for professionals looking to enhance their data analysis skills. By the end of the course, students will have a solid foundation in data analytics and be able to use these skills to inform business decisions.

Course Content:

  • Perspective of Python
  • Class & Objects
  • Installing Anaconda
  • Keywords
  • Identifiers
  • Datatype
  • Arithmetic Operators
  • Increment or Decrement Operator
  • Relational Operators
  • Equality Operators
  • Logical operators
  • Assignment Operators
  • Lambda
  • NumPy
  • Pandas
  • Matplotlib
  • Point
  • Line
  • Plane
  • Hyper Plane
  • Geometric Shape as a classifier
  • Euclidian
  • Angular
  • Directed
  • Cosine
  • Mean
  • Median
  • Mode
  • Population and Sample
  • Gaussian Distribution
  • CDF & PDF
  • Confidence Interval
  • Chebyshev’s inequality
  • Co-Variance
  • Pearson Correlation Coefficient
  • Spearman Rank Correlation Coefficient
  • Why PCA
  • Eigen Value and Eigen Vector
  • MNIST dataset Visualization
  • Model (Price Prediction)
  • Logistic Regression
  • Gradient Descent
  • Stochastic gradient descent
  • Ada Boosting
  • KNN
  • Geometric Meaning of KNN
  • Model (Flower Species Dataset)
  • Various Conditions and How to handle the situation
  • Math behind the Naïve Bayes
  • Model (Flower Species Dataset)
  • Decision Tree and Decision Forest
  • How Decision Tree work
  • Model
  • What is Unsupervised Learning
  • K Means
  • K Means ++
  • DB scan
  • Math and logic behind DB-scan
  • Implementation area in industries
  • Algometric Clustering
  • Collaborative Filtering
  • Excel Formulas
  • Advance Formulas like Vlookup, index match
  • Play with Chart
  • Optimization in Excel
  • Data Types
  • Chart
  • Auto Filtering
  • if else condition
  • Adding columns
  • Data Modeling
  • DAX
  • Dashboard Formatting
  • SQL Syntax
  • SQL Data Types
  • SQL Operators
  • SQL Expressions
  • SQL Clauses
  • SQL Queries and Subqueries
  • SQL Joins
  • String Handling
  • Report Automation using python and SqlvaiGmail(Automatic report generation and delivery).
  • Practice exercise on Hacker rank

All COURSES

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Our Course Features

At Agile IT Tech, we offer a comprehensive training experience that is designed to meet the needs of busy professionals who are unable to attend in-person classes.

At Agile IT Tech, we believe that learning from industry experts is the key to mastering new skills and advancing your career.

Unlock your learning potential and enhance your knowledge through the Power of Practical Learning with Real-World Case Studies.

The tech world is ever-evolving and our Demand-Driven Role-Based training module helps us train the prospective candidates for in-demand jobs and skills in various IT projects.

We offer professional guidance for certification exams, sharing valuable tips and tricks to ensure that trainees acquire the necessary skills and knowledge to successfully complete the certification process.

With our comprehensive placement assistance program, we provide you with the tools and support you need to succeed in your career.

CUSTOMER FEEDBACK

What Happy Clients Says
About Us?

Your%20IT%20Career%20Starts%20Here
Your%20IT%20Career%20Starts%20Here

I am currently undergoing training with Mr. Ali and he is a very good instructor. He has around 20 years of experience in IT and yet has patience to answer all kinds of questions from students. So far my experience with the trainer as well as the team members has been exceptional….special mention to Mr. Pankaj who is very responsive and tries to do everything in his capacity to make things smoother for aspiring BA students. Over all, a very committed and sincere team which I’m sure is going to do wonderful job in placements too!

Ramakanth Ananthoji

Your%20IT%20Career%20Starts%20Here
Your%20IT%20Career%20Starts%20Here

I am very much happy with total way the whole team work. I have to say thanks to Mr.Ali (Business Analyst Teacher) the way he taught, he shouts lot but lovingly which help lot to learn, my coordinator Mr.Ajay also nice fellow, time to time he follows up and guide me to right path, One word great place to learn and make future. I appreciate & recommend 100% who wants to move IT career , Agile IT Tech great choice.

Jackline Techie

Your%20IT%20Career%20Starts%20Here
Your%20IT%20Career%20Starts%20Here

I would really recommend this place for those who are looking to enhance their career and get into something that can boost their skills to grab great opportunities. Does not matter if you are experienced or fresh, if you have determination to get into the field of IT and software developement, this is the right place. You will have great people to work with from start to end. I had placement assistance which other companies dont help like. I would say this place is really a game changer to boost your career.

Farhan mazhar

Your%20IT%20Career%20Starts%20Here
Your%20IT%20Career%20Starts%20Here

I am confident that Venkat, the course teacher for Data Science with Python Machine Learning, is on the right path in preparing me to engage in the type of work that I pursue. I trust that each student has an equally well-defined objective shared with Venkat. His basic lessons are correctly tailored to the current classroom of about 10 to 12 persons, meeting two evenings per week. The homework helps us to verify how we use these tools.

Rich Reader