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Data Analysis with Python Course

Python is extremely Versatile

Are you ready for a career change, data analysis is calling you. Or perhaps are you already a data analyst, but you want to do some upskilling to increase your marketability and value. Whatever the reason, Enhtechsoftware has you covered. We will establish your mastery of data analytics techniques using Python

Python is a valuable part of the data analyst’s toolbox, as it’s tailor-made for carrying out repetitive tasks and data manipulation, and anyone who has worked with large amounts of data knows just how often repetition enters into it. By having a tool that handles the grunt work, the data analysts are free to handle the more interesting and rewarding parts of the job.

Unlock your potential with Enhtech's industry-leading programs! Choose the right path for your career growth with our Practical based Program in Data Analytics. Gain hands-on experience, learn from experts, and stand out in the competitive world of data science and analytics.

Audience: Professionals who participate in data analysis to manage large data volumn using latest techniques.

Need more info?   Email: info@enhtechsoftware.com   Enquie now!

Schedule & Cost

Mode of Delivery Location Course Duration Cost Schedule
Instructor-Led Onsite Training (1-on-1) Client's Home / Office 7 Weeks =N= 190,000 As per mutual convenience (4-Hours Evenings & Weekends Possible
Classroom Training Port Harcourt 7 Weeks =N= 190,000 13 Nov - 19 Jan 2024,
5 Feb - 12 April 2024,
22 April -29 June 2024
Lagos 7 Weks =N= 190,000 13 Nov - 19 Jan 2024,
5 Feb - 12 April 2024,
22 April -29 June 2024
Invite-Me-a-Trainer Client's Location 30 Days On Request Base on mutual convenience

Data Analysis Benefits

  • Informed Business decision-making.
  • Stremline organization's operational efficiency.
  • Data analytics can help an organization understand risks and take preventive measures
  • All businesses face data security threats. Organizations can use data analytics to diagnose the causes of past data breaches by processing and visualizing relevant data
  • The IT department can use data analytics applications to process, and visualize their audit logs to determine the course and origins of an attack.
  • By using data analytics to create comprehensive customer profiles, businesses can gain insights into customer behavior to provide a more personalized experience.

Python Explained:-

Python is a scripting language similar to PHP, JavaScript, R, VBA, Perl, Ruby & more and is used for scripting, statistical analysis, web programming (django, Zope, Google App Engine, and much more). It can be used to build server-side web applications. Note- It can't be used in a web browser.

Developer can learn Python Web Frameworks which is a collection of packages or modules which allows to write server-side Web apps or services without having to handle such low-level details as protocols, sockets or process/thread management.

Why is Python used in data analysis?

In Python robust data analysis functionality is available through packages like NumPy and pandas. However, R was built with statistics and data analysis in mind, so many tools that have been added to Python through packages are built into base R.

Stay ahead of the competition in your career and organization with Python Certification training courses. Interested and qualified students can join the classes for Data Analysis at ENHTECH Training center or one-on-one instructor-led training at your home or office.

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Why is Programming Important

Programming Languages are the reasons behind the innovations in information technologies

Programming is important to automate, collect, manage, calculate, analyze processing of data and information accurately.

Programming is important to create software and applications that help computer and mobile users in daily life. Due to all these reasons, It is really important that you learn how to use programming languages in our daily life. Java, PHP, Javascript, Python, C#, C++, Swift, SQL, Ruby, etc programming languages are the reasons behind the innovations in the information technologies. If today we are seeing robots, artificial intelligence, machine learning, bitcoins, the blockchain, IOT(Internet of Things), cloud computing etc, new technology and products in IT industry, then is because of programming languages.